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Lidar

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Lidar-derived image of Marching Bears Mound Group,Effigy Mounds National Monument
Afrequency addition source of optical radiation(FASOR) used at theStarfire Optical Rangefor lidar andlaser guide starexperiments is tuned to thesodium D2a lineand used to excitesodiumatomsin the upper atmosphere.
This lidar may be used to scan buildings, rock formations, et cetera, to produce a 3D model. The lidar can aim its laser beam in a wide range: its head rotates horizontally; a mirror tilts vertically. The laser beam is used to measure the distance to the first object on its path.
An airplane collecting treetop data over a Brazilian rainforest
In this view, the viewer flies down to the rainforest canopy and flies through the virtual leaves.
This visualisation shows an airplane collecting a 50 km swathe of lidar data over the Brazilian rainforest. For ground-level features, colours range from deep brown to tan. Vegetation heights are depicted in shades of green, where dark greens are closest to the ground and light greens are the highest.

Lidar(/ˈldɑːr/,alsoLIDAR,LiDARorLADAR,an acronym of "light detection and ranging"[1]or "laser imaging, detection, and ranging"[2]) is a method for determiningrangesby targeting an object or a surface with alaserand measuring the time for the reflected light to return to the receiver. Lidar may operate in a fixed direction (e.g., vertical) or it may scan multiple directions, in which case it is known aslidar scanningor3D laser scanning,a special combination of3-D scanningandlaser scanning.[3]Lidar has terrestrial, airborne, and mobile applications.[4][5]

Lidar is commonly used to make high-resolution maps, with applications insurveying,geodesy,geomatics,archaeology,geography,geology,geomorphology,seismology,forestry,atmospheric physics,[6]laser guidance,airborne laser swathe mapping (ALSM), andlaser altimetry.It is used to make digital3-D representationsof areas on the Earth's surface and ocean bottom of the intertidal and near coastal zone by varying the wavelength of light. It has also been increasingly used in control and navigation forautonomous cars[7]and for thehelicopterIngenuityon its record-setting flights over the terrain ofMars.[8]

The evolution ofquantum technologyhas given rise to the emergence of Quantum LiDAR, demonstrating higher efficiency and sensitivity when compared to conventional LiDAR systems.[9]

History and etymology

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Under the direction of Malcolm Stitch, theHughes Aircraft Companyintroduced the first lidar-like system in 1961,[10][11]shortly after the invention of the laser. Intended for satellite tracking, this system combined laser-focused imaging with the ability to calculate distances by measuring the time for a signal to return using appropriate sensors and data acquisition electronics. It was originally called "Colidar" an acronym for "coherent light detecting and ranging",[12]derived from the term "radar",itself an acronym for" radio detection and ranging ". All[citation needed]laserrangefinders,laser altimeters and lidar units are derived from the early colidar systems.

The first practical terrestrial application of a colidar system was the "Colidar Mark II", a large rifle-like laser rangefinder produced in 1963, which had a range of 11 km and an accuracy of 4.5 m, to be used for military targeting.[13][11]The first mention of lidar as a stand-alone word in 1963 suggests that it originated as a portmanteau of "light"and" radar ":" Eventually the laser may provide an extremely sensitive detector of particular wavelengths from distant objects. Meanwhile, it is being used to study the Moon by 'lidar' (light radar)... "[14][15] The name "photonic radar"is sometimes used to mean visible-spectrum range finding like lidar.[16][17]

Lidar's first applications were in meteorology, for which theNational Center for Atmospheric Researchused it to measurecloudsand pollution.[18]The general public became aware of the accuracy and usefulness of lidar systems in 1971 during theApollo 15mission, when astronauts used a laser altimeter to map the surface of the Moon. Although the English language no longer treats "radar" as an acronym, (i.e., uncapitalized), the word "lidar" was capitalized as "LIDAR" or "LiDAR" in some publications beginning in the 1980s. No consensus exists on capitalization. Various publications refer to lidar as "LIDAR", "LiDAR", "LIDaR", or "Lidar". TheUSGSuses both "LIDAR" and "lidar", sometimes in the same document;[19]theNew York Timespredominantly uses "lidar" for staff-written articles,[20]although contributing news feeds such asReutersmay use Lidar.[21]

General description

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Lidar usesultraviolet,visible,ornear infraredlight to image objects. It can target a wide range of materials, including non-metallic objects, rocks, rain, chemical compounds,aerosols,clouds and even singlemolecules.[6]A narrow laser beam can map physical features with very highresolutions;for example, an aircraft can map terrain at 30-centimetre (12 in) resolution or better.[22]

Basic time-of-flight principles applied to laser range-finding
Flying over the Brazilian Amazon with a lidar instrument
Animation of a satellite collecting digital elevation map data over the Ganges and Brahmaputra River basin using lidar

The essential concept of lidar was originated byE. H. Syngein 1930, who envisaged the use of powerful searchlights to probe the atmosphere.[23][24]Indeed, lidar has since been used extensively for atmospheric research andmeteorology.Lidar instruments fitted toaircraftandsatellitescarry outsurveyingand mapping – a recent example being the U.S. Geological Survey Experimental Advanced Airborne Research Lidar.[25]NASAhas identified lidar as a key technology for enabling autonomous precision safe landing of future robotic and crewed lunar-landing vehicles.[26]

Wavelengths vary to suit the target: from about 10micrometers(infrared) to approximately 250nanometers(ultraviolet). Typically, light is reflected viabackscattering,as opposed to pure reflection one might find with a mirror. Different types of scattering are used for different lidar applications: most commonlyRayleigh scattering,Mie scattering,Raman scattering,andfluorescence.[6]Suitable combinations of wavelengths can allow remote mapping of atmospheric contents by identifying wavelength-dependent changes in the intensity of the returned signal.[27] The name "photonic radar" is sometimes used to mean visible-spectrum range finding like lidar,[16][17]althoughphotonic radarmore strictly refers to radio-frequency range finding usingphotonicscomponents.

Technology

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Mathematical formula

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A lidar determines the distance of an object or a surface with theformula:[28]

wherecis thespeed of light,dis the distance between the detector and the object or surface being detected, andtis the time spent for the laser light to travel to the object or surface being detected, then travel back to the detector.

Design

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Click image to see the animation.A basic lidar system involves a laser range finder reflected by a rotating mirror (top). The laser is scanned around the scene being digitized, in one or two dimensions (middle), gathering distance measurements at specified angle intervals (bottom).

The two kinds of lidar detection schemes are "incoherent" or direct energy detection (which principally measures amplitude changes of the reflected light) andcoherentdetection (best for measuringDopplershifts, or changes in the phase of the reflected light). Coherent systems generally useoptical heterodyne detection.[29]This is more sensitive than direct detection and allows them to operate at much lower power, but requires more complex transceivers.

Both types employ pulse models: eithermicropulseorhigh energy.Micropulse systems utilize intermittent bursts of energy. They developed as a result of ever-increasing computer power, combined with advances in laser technology. They use considerably less energy in the laser, typically on the order of onemicrojoule,and are often "eye-safe", meaning they can be used without safety precautions. High-power systems are common in atmospheric research, where they are widely used for measuring atmospheric parameters: the height, layering and densities of clouds, cloud particle properties (extinction coefficient,backscatter coefficient,depolarization), temperature, pressure, wind, humidity, and trace gas concentration (ozone, methane,nitrous oxide,etc.).[6]

Components

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Lidar systems consist of several major components.

Laser

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600–1,000nmlasersare most common for non-scientific applications. The maximum power of the laser is limited, or an automatic shut-off system which turns the laser off at specific altitudes is used in order to make it eye-safe for the people on the ground.

One common alternative, 1,550 nm lasers, are eye-safe at relatively high power levels since this wavelength is not strongly absorbed by the eye. A trade-off though is that current detector technology is less advanced, so these wavelengths are generally used at longer ranges with lower accuracies. They are also used for military applications because 1,550 nm is not visible innight vision goggles,unlike the shorter 1,000 nm infrared laser.

Airborne topographic mapping lidars generally use 1,064 nm diode-pumpedYAGlasers, whilebathymetric(underwater depth research) systems generally use 532 nmfrequency-doubleddiode pumped YAG lasers because 532 nm penetrates water with much lessattenuationthan 1,064 nm. Laser settings include the laser repetition rate (which controls the data collection speed). Pulse length is generally an attribute of the laser cavity length, the number of passes required through the gain material (YAG,YLF,etc.), andQ-switch(pulsing) speed. Better target resolution is achieved with shorter pulses, provided the lidar receiver detectors and electronics have sufficient bandwidth.[6]

Phased arrays
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Aphased arraycan illuminate any direction by using a microscopic array of individual antennas. Controlling the timing (phase) of each antenna steers a cohesive signal in a specific direction.

Phased arrays have been used in radar since the 1940s. On the order of a million optical antennas are used to see a radiation pattern of a certain size in a certain direction. To achieve this the phase of each individual antenna (emitter) are precisely controlled. It is very difficult, if possible at all, to use the same technique in a lidar. The main problems are that all individual emitters must be coherent (technically coming from the same "master" oscillator or laser source), have dimensions about the wavelength of the emitted light (1 micron range) to act as a point source with their phases being controlled with high accuracy.

Several companies are working on developing commercial solid-state lidar units but these units utilize a different principle described in a Flash Lidar below.

Microelectromechanical machines
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Microelectromechanical mirrors (MEMS)are not entirely solid-state. However, their tiny form factor provides many of the same cost benefits. A single laser is directed to a single mirror that can be reoriented to view any part of the target field. The mirror spins at a rapid rate. However, MEMS systems generally operate in a single plane (left to right). To add a second dimension generally requires a second mirror that moves up and down. Alternatively, another laser can hit the same mirror from another angle. MEMS systems can be disrupted by shock/vibration and may require repeated calibration.[30]

Scanner and optics

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Image development speed is affected by the speed at which they are scanned. Options to scan theazimuthand elevation include dual oscillating plane mirrors, a combination with a polygon mirror, and adual axis scanner.Optic choices affect the angular resolution and range that can be detected. A hole mirror or abeam splitterare options to collect a return signal.

Photodetector and receiver electronics

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Two mainphotodetectortechnologies are used in lidar:solid statephotodetectors, such as silicon avalanchephotodiodes,orphotomultipliers.The sensitivity of the receiver is another parameter that has to be balanced in a lidar design.

Position and navigation systems

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Lidar sensors mounted on mobile platforms such as airplanes or satellites require instrumentation to determine the absolute position and orientation of the sensor. Such devices generally include aGlobal Positioning Systemreceiver and aninertial measurement unit(IMU).

Sensor

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Lidar uses active sensors that supply their own illumination source. The energy source hits objects and the reflected energy is detected and measured by sensors. Distance to the object is determined by recording the time between transmitted and backscattered pulses and by using the speed of light to calculate the distance traveled.[31]Flash lidar allows for 3-D imaging because of the camera's ability to emit a larger flash and sense the spatial relationships and dimensions of area of interest with the returned energy. This allows for more accurate imaging because the captured frames do not need to be stitched together, and the system is not sensitive to platform motion. This results in less distortion.[32]

3-D imaging can be achieved using both scanning and non-scanning systems. "3-D gated viewing laser radar" is a non-scanning laser ranging system that applies a pulsed laser and a fast gated camera. Research has begun for virtual beam steering usingDigital Light Processing(DLP) technology.

Imaging lidar can also be performed using arrays of high speed detectors and modulation sensitive detector arrays typically built on single chips usingcomplementary metal–oxide–semiconductor(CMOS) and hybrid CMOS/Charge-coupled device(CCD) fabrication techniques. In these devices each pixel performs some local processing such as demodulation or gating at high speed, downconverting the signals to video rate so that the array can be read like a camera. Using this technique many thousands of pixels / channels may be acquired simultaneously.[33]High resolution 3-D lidar cameras usehomodyne detectionwith an electronic CCD or CMOSshutter.[34]

A coherent imaging lidar usessynthetic array heterodyne detectionto enable a staring single element receiver to act as though it were an imaging array.[35]

In 2014,Lincoln Laboratoryannounced a new imaging chip with more than 16,384 pixels, each able to image a single photon, enabling them to capture a wide area in a single image. An earlier generation of the technology with one fourth as many pixels was dispatched by the U.S. military after the January 2010 Haiti earthquake. A single pass by a business jet at 3,000 m (10,000 ft) over Port-au-Prince was able to capture instantaneous snapshots of 600 m (2,000 ft) squares of the city at a resolution of 30 cm (1 ft), displaying the precise height of rubble strewn in city streets.[36]The new system is ten times better, and could produce much larger maps more quickly. The chip usesindium gallium arsenide(InGaAs), which operates in the infrared spectrum at a relatively long wavelength that allows for higher power and longer ranges. In many applications, such as self-driving cars, the new system will lower costs by not requiring a mechanical component to aim the chip. InGaAs uses less hazardous wavelengths than conventional silicon detectors, which operate at visual wavelengths.[37]New technologies for infraredsingle-photon countingLIDAR are advancing rapidly, including arrays and cameras in a variety ofsemiconductorandsuperconductingplatforms.[38]

Flash lidar

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In flash lidar, the entire field of view is illuminated with a widediverginglaser beam in a single pulse. This is in contrast to conventional scanning lidar, which uses acollimated laser beamthat illuminates a single point at a time, and the beam israster scannedto illuminate the field of view point-by-point. This illumination method requires a different detection scheme as well. In both scanning and flash lidar, atime-of-flight camerais used to collect information about both the 3-D location and intensity of the light incident on it in every frame. However, in scanning lidar, this camera contains only a point sensor, while in flash lidar, the camera contains either a 1-D or a 2-Dsensor array,each pixel of which collects 3-D location and intensity information. In both cases, the depth information is collected using thetime of flightof the laser pulse (i.e., the time it takes each laser pulse to hit the target and return to the sensor), which requires the pulsing of the laser and acquisition by the camera to be synchronized.[39]The result is a camera that takes pictures of distance, instead of colors.[30]Flash lidar is especially advantageous, when compared to scanning lidar, when the camera, scene, or both are moving, since the entire scene is illuminated at the same time. With scanning lidar, motion can cause "jitter" from the lapse in time as the laser rasters over the scene.

As with all forms of lidar, the onboard source of illumination makes flash lidar an active sensor. The signal that is returned is processed by embedded algorithms to produce a nearly instantaneous 3-D rendering of objects and terrain features within the field of view of the sensor.[40]The laser pulse repetition frequency is sufficient for generating 3-D videos with high resolution and accuracy.[39][41]The high frame rate of the sensor makes it a useful tool for a variety of applications that benefit from real-time visualization, such as highly precise remote landing operations.[42]By immediately returning a 3-D elevation mesh of target landscapes, a flash sensor can be used to identify optimal landing zones in autonomous spacecraft landing scenarios.[43]

Seeing at a distance requires a powerful burst of light. The power is limited to levels that do not damage human retinas. Wavelengths must not affect human eyes. However, low-cost silicon imagers do not read light in the eye-safe spectrum. Instead,gallium-arsenideimagers are required, which can boost costs to $200,000.[30]Gallium-arsenide is the same compound used to produce high-cost, high-efficiency solar panels usually used in space applications.

Classification

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Based on orientation

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Lidar can be oriented tonadir,zenith,or laterally. For example, lidar altimeters look down, an atmospheric lidar looks up, and lidar-basedcollision avoidance systemsare side-looking.

Based on scanning mechanism

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Laser projections of lidars can be manipulated using various methods and mechanisms to produce a scanning effect: the standard spindle-type, which spins to give a 360-degree view; solid-state lidar, which has a fixed field of view, but no moving parts, and can use either MEMS or optical phased arrays to steer the beams; and flash lidar, which spreads a flash of light over a large field of view before the signal bounces back to a detector.[44]

Based on platform

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Lidar applications can be divided into airborne and terrestrial types.[45]The two types require scanners with varying specifications based on the data's purpose, the size of the area to be captured, the range of measurement desired, the cost of equipment, and more. Spaceborne platforms are also possible, seesatellite laser altimetry.

Airborne

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Airborne lidar (alsoairborne laser scanning) is when a laser scanner, while attached to an aircraft during flight, creates a3-D point cloudmodel of the landscape. This is currently the most detailed and accurate method of creatingdigital elevation models,replacingphotogrammetry.One major advantage in comparison with photogrammetry is the ability to filter out reflections from vegetation from the point cloud model to create adigital terrain modelwhich represents ground surfaces such as rivers, paths, cultural heritage sites, etc., which are concealed by trees. Within the category of airborne lidar, there is sometimes a distinction made between high-altitude and low-altitude applications, but the main difference is a reduction in both accuracy and point density of data acquired at higher altitudes. Airborne lidar can also be used to create bathymetric models in shallow water.[46]

The main constituents of airborne lidar includedigital elevation models(DEM) and digital surface models (DSM). The points and ground points are the vectors of discrete points while DEM and DSM are interpolated raster grids of discrete points. The process also involves capturing of digital aerial photographs. To interpret deep-seated landslides for example, under the cover of vegetation, scarps, tension cracks or tipped trees airborne lidar is used. Airborne lidar digital elevation models can see through the canopy of forest cover, perform detailed measurements of scarps, erosion and tilting of electric poles.[47]

Airborne lidar data is processed using a toolbox called Toolbox for Lidar Data Filtering and Forest Studies (TIFFS)[48]for lidar data filtering and terrain study software. The data is interpolated to digital terrain models using the software. The laser is directed at the region to be mapped and each point's height above the ground is calculated by subtracting the original z-coordinate from the corresponding digital terrain model elevation. Based on this height above the ground the non-vegetation data is obtained which may include objects such as buildings, electric power lines, flying birds, insects, etc. The rest of the points are treated as vegetation and used for modeling and mapping. Within each of these plots, lidar metrics are calculated by calculating statistics such as mean, standard deviation, skewness, percentiles, quadratic mean, etc.[48]

Lidar scanning performed with a multicopterUAV

Multiple commercial lidar systems forunmanned aerial vehiclesare currently on the market. These platforms can systematically scan large areas, or provide a cheaper alternative to manned aircraft for smaller scanning operations.[49]

Airborne Lidar Bathymetric Technology-High-resolution multibeam lidar map showing spectacularly faulted and deformed seafloor geology, in shaded relief and coloured by depth

Airborne lidar bathymetry

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The airborne lidarbathymetrictechnological system involves the measurement oftime of flightof a signal from a source to its return to the sensor. The data acquisition technique involves a sea floor mapping component and a ground truth component that includes video transects and sampling. It works using a green spectrum (532 nm) laser beam.[50]Two beams are projected onto a fast rotating mirror, which creates an array of points. One of the beams penetrates the water and also detects the bottom surface of the water under favorable conditions.

Water depth measurable by lidar depends on the clarity of the water and the absorption of the wavelength used. Water is most transparent to green and blue light, so these will penetrate deepest in clean water.[51]Blue-green light of 532 nm produced byfrequency doubledsolid-state IR laser output is the standard for airborne bathymetry. This light can penetrate water but pulse strength attenuates exponentially with distance traveled through the water.[50]Lidar can measure depths from about 0.9 to 40 m (3 to 131 ft), with vertical accuracy in the order of 15 cm (6 in). The surface reflection makes water shallower than about 0.9 m (3 ft) difficult to resolve, and absorption limits the maximum depth. Turbidity causes scattering and has a significant role in determining the maximum depth that can be resolved in most situations, and dissolved pigments can increase absorption depending on wavelength.[51]Other reports indicate that water penetration tends to be between two and three times Secchi depth. Bathymetric lidar is most useful in the 0–10 m (0–33 ft) depth range in coastal mapping.[50]

On average in fairly clear coastal seawater lidar can penetrate to about 7 m (23 ft), and in turbid water up to about 3 m (10 ft). An average value found by Saputra et al, 2021, is for the green laser light to penetrate water about one and a half to two times Secchi depth in Indonesian waters. Water temperature and salinity have an effect on the refractive index which has a small effect on the depth calculation.[52]

The data obtained shows the full extent of the land surface exposed above the sea floor. This technique is extremely useful as it will play an important role in the major sea floor mapping program. The mapping yields onshore topography as well as underwater elevations. Sea floor reflectance imaging is another solution product from this system which can benefit mapping of underwater habitats. This technique has been used for three-dimensional image mapping of California's waters using a hydrographic lidar.[53]

Full-waveform lidar

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Airborne lidar systems were traditionally able to acquire only a few peak returns, while more recent systems acquire and digitize the entire reflected signal.[54]Scientists analysed the waveform signal for extracting peak returns usingGaussian decomposition.[55]Zhuang et al, 2017 used this approach for estimating aboveground biomass.[56]Handling the huge amounts of full-waveform data is difficult. Therefore, Gaussian decomposition of the waveforms is effective, since it reduces the data and is supported by existing workflows that support interpretation of 3-Dpoint clouds.Recent studies investigatedvoxelisation.The intensities of the waveform samples are inserted into a voxelised space (3-D grayscale image) building up a 3-D representation of the scanned area.[54]Related metrics and information can then be extracted from that voxelised space. Structural information can be extracted using 3-D metrics from local areas and there is a case study that used the voxelisation approach for detecting dead standingEucalypttrees in Australia.[57]

Terrestrial

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Terrestrial applications of lidar (alsoterrestrial laser scanning) happen on the Earth's surface and can be either stationary or mobile. Stationary terrestrial scanning is most common as a survey method, for example in conventional topography, monitoring, cultural heritage documentation and forensics.[45]The3-D point cloudsacquired from these types of scanners can be matched withdigital imagestaken of the scanned area from the scanner's location to create realistic looking 3-D models in a relatively short time when compared to other technologies. Each point in thepoint cloudis given the colour of the pixel from the image taken at the same location and direction as the laser beam that created the point.

Mobile lidar (alsomobile laser scanning) is when two or more scanners are attached to a moving vehicle to collect data along a path. These scanners are almost always paired with other kinds of equipment, includingGNSSreceivers andIMUs.One example application is surveying streets, where power lines, exact bridge heights, bordering trees, etc. all need to be taken into account. Instead of collecting each of these measurements individually in the field with atachymeter,a 3-D model from a point cloud can be created where all of the measurements needed can be made, depending on the quality of the data collected. This eliminates the problem of forgetting to take a measurement, so long as the model is available, reliable and has an appropriate level of accuracy.

Terrestrial lidar mapping involves a process ofoccupancy grid map generation.The process involves an array of cells divided into grids which employ a process to store the height values when lidar data falls into the respective grid cell. A binary map is then created by applying a particular threshold to the cell values for further processing. The next step is to process the radial distance and z-coordinates from each scan to identify which 3-D points correspond to each of the specified grid cell leading to the process of data formation.[58]

Applications

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Thismobile robotuses its lidar to construct a map and avoid obstacles.

There are a wide variety of lidar applications, in addition to the applications listed below, as it is often mentioned inNational lidar datasetprograms. These applications are largely determined by the range of effective object detection; resolution, which is how accurately the lidar identifies and classifies objects; and reflectance confusion, meaning how well the lidar can see something in the presence of bright objects, like reflective signs or bright sun.[44]

Companies are working to cut the cost of lidar sensors, currently anywhere from about US$1,200 to more than $12,000. Lower prices will make lidar more attractive for new markets.[59]

Agriculture

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Graphic of a lidar return, featuring different crop yield rates.
Lidar is used to analyze yield rates on agricultural fields.

Agricultural robotshave been used for a variety of purposes ranging from seed and fertilizer dispersions, sensing techniques as well as crop scouting for the task ofweed control.

Lidar can help determine where to apply costly fertilizer. It can create a topographical map of the fields and reveal slopes and sun exposure of the farmland. Researchers at theAgricultural Research Serviceused this topographical data with the farmland yield results from previous years, to categorize land into zones of high, medium, or low yield.[60]This indicates where to apply fertilizer to maximize yield.

Lidar is now used to monitor insects in the field. The use of lidar can detect the movement and behavior of individual flying insects, with identification down to sex and species.[61]In 2017 a patent application was published on this technology in the United States, Europe, and China.[62]

Another application is crop mapping in orchards and vineyards, to detect foliage growth and the need for pruning or other maintenance, detect variations in fruit production, or count plants.

Lidar is useful inGNSS-denied situations, such as nut and fruit orchards, where foliage causesinterferencefor agriculture equipment that would otherwise utilize a precise GNSS fix. Lidar sensors can detect and track the relative position of rows, plants, and other markers so that farming equipment can continue operating until a GNSS fix is reestablished.

Plant species classification

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Controlling weeds requires identifying plant species. This can be done by using 3-D lidar and machine learning.[63]Lidar produces plant contours as a "point cloud" with range and reflectance values. This data is transformed, and features are extracted from it. If the species is known, the features are added as new data. The species is labelled and its features are initially stored as an example to identify the species in the real environment. This method is efficient because it uses a low-resolution lidar and supervised learning. It includes an easy-to-compute feature set with common statistical features which are independent of the plant size.[63]

Archaeology

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Lidar has many uses in archaeology, including planning of field campaigns, mapping features under forest canopy, and overview of broad, continuous features indistinguishable from the ground.[64]Lidar can produce high-resolution datasets quickly and cheaply. Lidar-derived products can be easily integrated into a Geographic Information System (GIS) for analysis and interpretation.

Lidar can also help to create high-resolution digital elevation models (DEMs) of archaeological sites that can reveal micro-topography that is otherwise hidden by vegetation. The intensity of the returned lidar signal can be used to detect features buried under flat vegetated surfaces such as fields, especially when mapping using the infrared spectrum. The presence of these features affects plant growth and thus the amount of infrared light reflected back.[65]For example, atFort Beauséjour– Fort Cumberland National Historic Site, Canada, lidar discovered archaeological features related to the siege of the Fort in 1755. Features that could not be distinguished on the ground or through aerial photography were identified by overlaying hill shades of the DEM created with artificial illumination from various angles. Another example is work atCaracolbyArlen Chaseand his wifeDiane Zaino Chase.[66]In 2012, lidar was used to search for the legendary city ofLa Ciudad Blancaor "City of the Monkey God" in theLa Mosquitiaregion of the Honduran jungle. During a seven-day mapping period, evidence was found of man-made structures.[67][68]In June 2013, the rediscovery of the city ofMahendraparvatawas announced.[69]In southern New England, lidar was used to reveal stone walls, building foundations, abandoned roads, and other landscape features obscured in aerial photography by the region's dense forest canopy.[70][71][72]In Cambodia, lidar data were used byDamian Evansand Roland Fletcher to reveal anthropogenic changes to Angkor landscape.[73]

In 2012, lidar revealed that thePurépechasettlement ofAngamucoinMichoacán,Mexico had about as many buildings as today's Manhattan;[74]while in 2016, its use in mapping ancient Maya causeways in northern Guatemala, revealed 17 elevated roads linking the ancient city ofEl Miradorto other sites.[75][76]In 2018, archaeologists using lidar discovered more than 60,000 man-made structures in theMaya Biosphere Reserve,a "major breakthrough" that showed theMaya civilizationwas much larger than previously thought.[77][78][79][80][81][82][83][84][85][86][87]In 2024, archaeologists using lidar discovered theUpano Valley sites.[88][89]

Autonomous vehicles

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Cruise Automationself-driving car with fiveVelodyne Lidarunits on the roof
Forecast 3-D Laser System using a SICK LMC lidar sensor

Autonomous vehiclesmay use lidar for obstacle detection and avoidance to navigate safely through environments.[7][90]The introduction of lidar was a pivotal occurrence that was the key enabler behindStanley,the first autonomous vehicle to successfully complete theDARPA Grand Challenge.[91]Point cloud output from the lidar sensor provides the necessary data for robot software to determine where potential obstacles exist in the environment and where the robot is in relation to those potential obstacles. Singapore'sSingapore-MIT Alliance for Research and Technology (SMART)is actively developing technologies for autonomous lidar vehicles.[92]

Thevery first generationsof automotiveadaptive cruise controlsystems used only lidar sensors.

Object detection for transportation systems

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In transportation systems, to ensure vehicle and passenger safety and to develop electronic systems that deliver driver assistance, understanding the vehicle and its surrounding environment is essential. Lidar systems play an important role in the safety of transportation systems. Many electronic systems which add to the driver assistance and vehicle safety such as Adaptive Cruise Control (ACC), Emergency Brake Assist, andAnti-lock Braking System(ABS) depend on the detection of a vehicle's environment to act autonomously or semi-autonomously. Lidar mapping and estimation achieve this.

Basics overview: Current lidar systems use rotating hexagonal mirrors which split the laser beam. The upper three beams are used for vehicle and obstacles ahead and the lower beams are used to detect lane markings and road features.[93]The major advantage of using lidar is that the spatial structure is obtained and this data can be fused with other sensors such asradar,etc. to get a better picture of the vehicle environment in terms of static and dynamic properties of the objects present in the environment. Conversely, a significant issue with lidar is the difficulty in reconstructing point cloud data in poor weather conditions. In heavy rain, for example, the light pulses emitted from the lidar system are partially reflected off of rain droplets which adds noise to the data, called 'echoes'.[94]

Below mentioned are various approaches of processing lidar data and using it along with data from other sensors through sensor fusion to detect the vehicle environment conditions.

Obstacle detection and road environment recognition using lidar
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This method proposed by Kun Zhou et al.[95]not only focuses on object detection and tracking but also recognizes lane marking and road features. As mentioned earlier the lidar systems use rotating hexagonal mirrors that split the laser beam into six beams. The upper three layers are used to detect the forward objects such as vehicles and roadside objects. The sensor is made of weather-resistant material. The data detected by lidar are clustered to several segments and tracked byKalman filter.Data clustering here is done based on characteristics of each segment based on object model, which distinguish different objects such as vehicles, signboards, etc. These characteristics include the dimensions of the object, etc. The reflectors on the rear edges of vehicles are used to differentiate vehicles from other objects. Object tracking is done using a two-stage Kalman filter considering the stability of tracking and the accelerated motion of objects[93]Lidar reflective intensity data is also used for curb detection by making use of robust regression to deal with occlusions. The road marking is detected using a modified Otsu method by distinguishing rough and shiny surfaces.[96]

Advantages

Roadside reflectors that indicate lane border are sometimes hidden due to various reasons. Therefore, other information is needed to recognize the road border. The lidar used in this method can measure the reflectivity from the object. Hence, with this data the road border can also be recognized. Also, the usage of a sensor with weather-robust head helps to detect the objects even in bad weather conditions. Canopy Height Model before and after flood is a good example. Lidar can detect highly detailed canopy height data as well as its road border.

Lidar measurements help identify the spatial structure of the obstacle. This helps distinguish objects based on size and estimate the impact of driving over it.[97]

Lidar systems provide better range and a large field of view, which helps in detecting obstacles on the curves. This is one of its major advantages overRADAR systems,which have a narrower field of view. The fusion of lidar measurement with different sensors makes the system robust and useful in real-time applications, since lidar dependent systems cannot estimate the dynamic information about the detected object.[97]

It has been shown that lidar can be manipulated, such that self-driving cars are tricked into taking evasive action.[98]

Ecology and conservation

[edit]
Lidar imaging comparing old-growth forest (right) to a new plantation of trees (left)

Lidar has also found many applications for mapping natural and managed landscapes such as forests, wetlands,[99]and grasslands.Canopyheights,biomassmeasurements, and leaf area can all be studied using airborne lidar systems.[100][101][102][103]Similarly, lidar is also used by many industries, including Energy and Railroad, and the Department of Transportation as a faster way of surveying. Topographic maps can also be generated readily from lidar, including for recreational use such as in the production oforienteeringmaps.[104]Lidar has also been applied to estimate and assess the biodiversity of plants, fungi, and animals.[105][106][107]Usingsouthern bull kelpin New Zealand, coastal lidar mapping data has been compared withpopulation genomicevidence to form hypotheses regarding the occurrence and timing of prehistoric earthquake uplift events.[108]

Forestry

[edit]
A typical workflow to derive forest information at individual tree or plot levels from lidar point clouds[109]

Lidar systems have also been applied to improve forestry management.[110]Measurements are used to take inventory in forest plots as well as calculate individual tree heights, crown width and crown diameter. Other statistical analysis use lidar data to estimate total plot information such as canopy volume, mean, minimum and maximum heights, vegetation cover, biomass, and carbon density.[109]Aerial lidar has been used to map the bush fires in Australia in early 2020. The data was manipulated to view bare earth, and identify healthy and burned vegetation.[111]

Geology and soil science

[edit]

High-resolutiondigital elevation mapsgenerated by airborne and stationary lidar have led to significant advances ingeomorphology(the branch of geoscience concerned with the origin and evolution of the Earth surface topography). The lidar abilities to detect subtle topographic features such as river terraces and river channel banks,[112]glacial landforms,[113]to measure the land-surface elevation beneath the vegetation canopy, to better resolve spatial derivatives of elevation, to rockfall detection,[114][115]to detect elevation changes between repeat surveys[116]have enabled many novel studies of the physical and chemical processes that shape landscapes.[117] In 2005 theTour Rondein theMont Blanc massifbecame the first highalpine mountainon which lidar was employed to monitor the increasing occurrence of severe rock-fall over large rock faces allegedly caused byclimate changeand degradation of permafrost at high altitude.[118]

Lidar is also used instructural geologyand geophysics as a combination between airborne lidar andGNSSfor the detection and study offaults,for measuringuplift.[119]The output of the two technologies can produce extremely accurate elevation models for terrain – models that can even measure ground elevation through trees. This combination was used most famously to find the location of theSeattle FaultinWashington,United States.[120]This combination also measures uplift atMount St. Helensby using data from before and after the 2004 uplift.[121]Airborne lidar systems monitorglaciersand have the ability to detect subtle amounts of growth or decline. A satellite-based system, theNASAICESat,includes a lidar sub-system for this purpose. The NASA Airborne Topographic Mapper[122]is also used extensively to monitorglaciersand perform coastal change analysis. The combination is also used by soil scientists while creating asoil survey.The detailed terrain modeling allows soil scientists to see slope changes and landform breaks which indicate patterns in soil spatial relationships.

Atmosphere

[edit]
Near range lidar at Institute of Geophysics, Warsaw, Poland

Initially, based onruby lasers,lidar for meteorological applications was constructed shortly after the invention of the laser and represents one of the first applications of laser technology. Lidar technology has since expanded vastly in capability and lidar systems are used to perform a range of measurements that include profiling clouds, measuring winds, studyingaerosols,and quantifying various atmospheric components. Atmospheric components can in turn provide useful information includingsurface pressure(by measuring the absorption ofoxygenornitrogen),greenhouse gasemissions (carbon dioxideandmethane),photosynthesis(carbon dioxide),fires(carbon monoxide), andhumidity(water vapor). Atmospheric lidars can be either ground-based, airborne or satellite-based depending on the type of measurement.

Atmospheric lidarremote sensingworks in two ways –

  1. by measuringbackscatterfrom the atmosphere, and
  2. by measuring the scattered reflection off the ground (when the lidar is airborne) or other hard surface.

Backscatter from the atmosphere directly gives a measure of clouds and aerosols. Other derived measurements from backscatter such as winds or cirrus ice crystals require careful selecting of the wavelength and/or polarization detected.Doppler lidarandRayleigh Doppler lidarare used to measure temperature and wind speed along the beam by measuring the frequency of the backscattered light. TheDoppler broadeningof gases in motion allows the determination of properties via the resulting frequency shift.[123]Scanning lidars, such asNASA's conical-scanning HARLIE, have been used to measure atmospheric wind velocity.[124]TheESAwind missionADM-Aeoluswill be equipped with a Doppler lidar system in order to provide global measurements of vertical wind profiles.[125]A doppler lidar system was used in the2008 Summer Olympicsto measure wind fields during the yacht competition.[126]

Doppler lidar systems are also now beginning to be successfully applied in the renewable energy sector to acquire wind speed, turbulence, wind veer, and wind shear data. Both pulsed and continuous wave systems are being used. Pulsed systems use signal timing to obtain vertical distance resolution, whereas continuous wave systems rely on detector focusing.

The term,eolics,has been proposed to describe the collaborative and interdisciplinary study of wind using computational fluid mechanics simulations and Doppler lidar measurements.[127]

The ground reflection of an airborne lidar gives a measure of surface reflectivity (assuming the atmospheric transmittance is well known) at the lidar wavelength, however, the ground reflection is typically used for making absorption measurements of the atmosphere. "Differential absorption lidar" (DIAL) measurements utilize two or more closely spaced (less than 1 nm) wavelengths to factor out surface reflectivity as well as other transmission losses, since these factors are relatively insensitive to wavelength. When tuned to the appropriate absorption lines of a particular gas, DIAL measurements can be used to determine the concentration (mi xing ratio) of that particular gas in the atmosphere. This is referred to as anIntegrated Path Differential Absorption(IPDA) approach, since it is a measure of the integrated absorption along the entire lidar path. IPDA lidars can be either pulsed[128][129]or CW[130]and typically use two or more wavelengths.[131]IPDA lidars have been used for remote sensing of carbon dioxide[128][129][130]and methane.[132]

Synthetic arraylidarallows imaging lidar without the need for an array detector. It can be used for imaging Doppler velocimetry, ultra-fast frame rate imaging (millions of frames per second), as well as forspecklereduction in coherent lidar.[35]An extensive lidar bibliography for atmospheric and hydrospheric applications is given by Grant.[133]

Law enforcement

[edit]

Lidar speed guns are used by the police to measure the speed of vehicles forspeed limit enforcementpurposes. Additionally, it is used in forensics to aid in crime scene investigations. Scans of a scene are taken to record exact details of object placement, blood, and other important information for later review. These scans can also be used to determine bullet trajectory in cases of shootings.

Military

[edit]

Few military applications are known to be in place and are classified (such as the lidar-based speed measurement of theAGM-129 ACMstealth nuclear cruise missile), but a considerable amount of research is underway in their use for imaging. Higher resolution systems collect enough detail to identify targets, such astanks.Examples of military applications of lidar include the Airborne Laser Mine Detection System (ALMDS) for counter-mine warfare by Areté Associates.[134]

A NATO report (RTO-TR-SET-098) evaluated the potential technologies to do stand-off detection for the discrimination of biological warfare agents. The potential technologies evaluated were Long-Wave Infrared (LWIR), Differential Scattering (DISC), and Ultraviolet Laser Induced Fluorescence (UV-LIF). The report concluded that:Based upon the results of the lidar systems tested and discussed above, the Task Group recommends that the best option for the near-term (2008–2010) application of stand-off detection systems is UV-LIF,[135]however, in the long-term, other techniques such as stand-offRaman spectroscopymay prove to be useful for identification of biological warfare agents.

Short-range compact spectrometric lidar based on Laser-Induced Fluorescence (LIF) would address the presence of bio-threats in aerosol form over critical indoor, semi-enclosed and outdoor venues such as stadiums, subways, and airports. This near real-time capability would enable rapid detection of a bioaerosol release and allow for timely implementation of measures to protect occupants and minimize the extent of contamination.[136]

The Long-Range Biological Standoff Detection System (LR-BSDS) was developed for the U.S. Army to provide the earliest possible standoff warning of a biological attack. It is an airborne system carried by helicopter to detect synthetic aerosol clouds containing biological and chemical agents at long range. The LR-BSDS, with a detection range of 30 km or more, was fielded in June 1997.[137] Five lidar units produced by the German companySick AGwere used for short range detection onStanley,theautonomous carthat won the 2005DARPA Grand Challenge.

A roboticBoeing AH-6performed a fully autonomous flight in June 2010, including avoiding obstacles using lidar.[138][139]

Mining

[edit]

For the calculation of ore volumes is accomplished by periodic (monthly) scanning in areas of ore removal, then comparing surface data to the previous scan.[140]

Lidar sensors may also be used for obstacle detection and avoidance for robotic mining vehicles such as in the Komatsu Autonomous Haulage System (AHS)[141]used in Rio Tinto's Mine of the Future.

Physics and astronomy

[edit]

A worldwide network of observatories useslidars to measure the distance to reflectors placed on the Moon,allowing the position of the Moon to be measured with millimeter precision andtests of general relativityto be done.MOLA,theMarsOrbiting Laser Altimeter, used a lidar instrument in a Mars-orbiting satellite (the NASAMars Global Surveyor) to produce a spectacularly precise global topographic survey of the red planet. Laser altimeters produced global elevation models of Mars, the Moon (Lunar Orbiter Laser Altimeter (LOLA)) Mercury (Mercury Laser Altimeter (MLA)), NEAR–Shoemaker Laser Rangefinder (NLR).[142]Future missions will also include laser altimeter experiments such as the Ganymede Laser Altimeter (GALA) as part of the Jupiter Icy Moons Explorer (JUICE) mission.[142]

In September, 2008, the NASAPhoenixlanderused lidar to detect snow in the atmosphere of Mars.[143]

In atmospheric physics, lidar is used as a remote detection instrument to measure densities of certain constituents of the middle and upper atmosphere, such aspotassium,sodium,or molecularnitrogenandoxygen.These measurements can be used to calculate temperatures. Lidar can also be used to measure wind speed and to provide information about vertical distribution of theaerosolparticles.[144]

At theJETnuclear fusionresearch facility, in the UK nearAbingdon,Oxfordshire, lidarThomson scatteringis used to determineelectrondensity and temperature profiles of theplasma.[145]

Rock mechanics

[edit]

Lidar has been widely used in rock mechanics for rock mass characterization and slope change detection. Some important geomechanical properties from the rock mass can be extracted from the 3-D point clouds obtained by means of the lidar. Some of these properties are:

Some of these properties have been used to assess the geomechanical quality of the rock mass through theRMRindex. Moreover, as the orientations of discontinuities can be extracted using the existing methodologies, it is possible to assess the geomechanical quality of a rock slope through theSMRindex.[152]In addition to this, the comparison of different 3-D point clouds from a slope acquired at different times allows researchers to study the changes produced on the scene during this time interval as a result of rockfalls or any other landsliding processes.[153][154][155]

THOR

[edit]

THOR is a laser designed toward measuring Earth's atmospheric conditions. The laser enters a cloud cover[156]and measures the thickness of the return halo. The sensor has a fiber optic aperture with a width of7+12inches (19 cm) that is used to measure the return light.

Robotics

[edit]

Lidar technology is being used inroboticsfor the perception of the environment as well as object classification.[157]The ability of lidar technology to provide three-dimensional elevation maps of the terrain, high precision distance to the ground, and approach velocity can enable safe landing of robotic and crewed vehicles with a high degree of precision.[26]Lidar are also widely used in robotics forsimultaneous localization and mappingand well integrated into robot simulators.[158]Refer to the Military section above for further examples.

Spaceflight

[edit]

Lidar is increasingly being utilized forrangefindingandorbital elementcalculation ofrelative velocityinproximity operationsandstationkeepingofspacecraft.Lidar has also been used foratmosphericstudies from space. Short pulses of laser light beamed from a spacecraft can reflect off tiny particles in the atmosphere and back to a telescope aligned with the spacecraft laser. By precisely timing the lidar echo, and by measuring how much laser light is received by the telescope, scientists can accurately determine the location, distribution and nature of the particles. The result is a revolutionary new tool for studying constituents in the atmosphere, from cloud droplets to industrial pollutants, which are difficult to detect by other means. "[159][160]

Laser altimetry is used to makedigital elevation mapsof planets, including theMars Orbital Laser Altimeter(MOLA) mapping of Mars,[161]theLunar Orbital Laser Altimeter(LOLA)[162]and Lunar Altimeter (LALT) mapping of the Moon, and the Mercury Laser Altimeter (MLA) mapping of Mercury.[163]It is also used to help navigate thehelicopterIngenuityin its record-setting flights over the terrain ofMars.[8]

Surveying

[edit]
ThisTomTommapping van is fitted with five lidar sensors on its roof rack.

Airborne lidar sensors are used by companies in the remote sensing field. They can be used to create a DTM (Digital Terrain Model) or DEM (Digital Elevation Model); this is quite a common practice for larger areas as a plane can acquire3–4 km (2–2+12mi) wide swaths in a single flyover. Greater vertical accuracy of below 50 mm (2 in) can be achieved with a lower flyover, even in forests, where it is able to give the height of the canopy as well as the ground elevation. Typically, a GNSS receiver configured over a georeferenced control point is needed to link the data in with theWGS(World Geodetic System).[164]

Lidar is also in use inhydrographic surveying.Depending upon the clarity of the water lidar can measure depths from 0.9 to 40 m (3 to 131 ft) with a vertical accuracy of 15 cm (6 in) and horizontal accuracy of 2.5 m (8 ft).[165]

Transport

[edit]
A point cloud generated from a moving car using a singleOusterOS1 lidar

Lidar has been used in the railroad industry to generate asset health reports for asset management and by departments of transportation to assess their road conditions. CivilMaps is a leading company in the field.[166]Lidar has been used inadaptive cruise control(ACC) systems for automobiles. Systems such as those by Siemens, Hella, Ouster and Cepton use a lidar device mounted on the front of the vehicle, such as the bumper, to monitor the distance between the vehicle and any vehicle in front of it.[167]In the event, the vehicle in front slows down or is too close, the ACC applies the brakes to slow the vehicle. When the road ahead is clear, the ACC allows the vehicle to accelerate to a speed preset by the driver. Refer to the Military section above for further examples. A lidar-based device, theCeilometeris used at airports worldwide to measure the height of clouds on runway approach paths.[168]

Wind farm optimization

[edit]

Lidar can be used to increase the energy output fromwind farmsby accurately measuring wind speeds and wind turbulence.[169][170]Experimental lidar systems[171][172]can be mounted on thenacelle[173]of awind turbineor integrated into the rotating spinner[174]to measure oncoming horizontal winds,[175]winds in the wake of the wind turbine,[176]and proactively adjust blades to protect components and increase power. Lidar is also used to characterise the incident wind resource for comparison with wind turbine power production to verify the performance of the wind turbine[177]by measuring the wind turbine's power curve.[178]Wind farm optimization can be considered a topic inapplied eolics.Another aspect of lidar in wind related industry is to usecomputational fluid dynamicsover lidar-scanned surfaces in order to assess the wind potential,[179]which can be used for optimal wind farms placement.

Solar photovoltaic deployment optimization

[edit]

Lidar can also be used to assist planners and developers in optimizing solarphotovoltaicsystems at the city level by determining appropriate roof tops[180][181]and for determiningshadinglosses.[182]Recent airborne laser scanning efforts have focused on ways to estimate the amount of solar light hitting vertical building facades,[183]or by incorporating more detailed shading losses by considering the influence from vegetation and larger surrounding terrain.[184]

Video games

[edit]

Recent simulation racing games such asrFactor Pro,iRacing,Assetto CorsaandProject CARSincreasingly feature race tracks reproduced from 3-D point clouds acquired through lidar surveys, resulting in surfaces replicated with centimeter or millimeter precision in the in-game 3-D environment.[185][186][187]

The 2017 exploration gameScanner Sombre,byIntroversion Software,uses lidar as a fundamental game mechanic.

InBuild the Earth,lidar is used to create accurate renders of terrain inMinecraftto account for any errors (mainly regarding elevation) in the default generation. The process of rendering terrain into Build the Earth is limited by the amount of data available in region as well as the speed it takes to convert the file into block data.

Other uses

[edit]
Lidar scanner on a4th generation iPad Pro

The video for the 2007 song "House of Cards"byRadioheadwas believed to be the first use of real-time 3-D laser scanning to record a music video. The range data in the video is not completely from a lidar, as structured light scanning is also used.[188]

In 2020,Appleintroduced thefourth generation of iPad Prowith a lidar sensor integrated into the rearcamera module,especially developed foraugmented reality(AR) experiences.[189]The feature was later included in theiPhone 12 Pro lineupand subsequent Pro models.[190]On Apple devices, lidar empowers portrait mode pictures with night mode, quickensauto focusand improves accuracy in theMeasureapp.

In 2022,Wheel of Fortunestarted using lidar technology to track whenVanna Whitemoves her hand over the puzzle board to reveal letters. The first episode to have this technology was in the season 40 premiere.[191]

Alternative technologies

[edit]

Computer stereo visionhas shown promise as an alternative to lidar for close range applications.[192]

See also

[edit]

References

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Further reading

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