4.9.8.1 Laser Sensors for Range, Time of Flight

Perceptron,
1981.
WWW Link. Vendor, Laser Scanner. Industrial laser Scanners. General non-contact vision and metrology.

3shape,
2000.
WWW Link. Vendor, Range Sensor. Denmark. 3-D scanners and CAD Sortware. Dental models, tools for hearing aid shells, 3d printing.

Faro Technologies,
2001.
WWW Link. Vendor, Laser Scanner. Industrial laser Scanners.

GKS Inspection Services,
Laser Design, Inc. 2007 Laser mensuration systems.
WWW Link. Vendor, Laser Scanner.

Polehemus, Laser Scanner,
2005.
WWW Link. Vendor, Laser Scanner. Also does eye and motion tracking.

3D Digital Corp,
2007.
WWW Link. Vendor, Laser Scanner. Laser scanner systems. Dental models, shoes.

3D Shape GmbH,
2007.
WWW Link. Vendor, Laser Scanner. Face scanner, creation of 3D models.

Acuity Laser Measurement,
2005.
WWW Link. Vendor, Laser Scanner. Laser rangefinders and scanners.

Advanced Simulation Technologies Ltd.,
Advanced SimTech, 2007.
WWW Link. Vendor, Laser Scanner. Vendor, Laser Scan Data. Forensic Analysis. Laser scanning and analysis services, especially accident investigations.

Leica GeoSystems HDS,
2003.
HTML Version. Vendor, Laser Scanner. Several laser scanner products.

Konica Minolta 3-D,
1997.
WWW Link. Vendor, Laser Scanner. Scanners and models.

Neptec,
1990.
WWW Link. Vendor, Laser Scanner. Space based systems (Space Shuttle).

Direct Dimensions,
1995.
HTML Version. Vendor, Laser Scanner. Vendor, 3D Models. Scanners. Architectural models. Object models.

Virtek Vision International Inc.,
2007.
WWW Link. Vendor, Laser Scanner. Scanners. 3-D models. Object models.

Veoldyne LiDAR,
1983.
WWW Link. Vendor, Laser Scanner. 360 degree high frame rate laser sensor. Used in a lot of vehicle programs. Company Primarily involved in acoustics.

NVision, Inc.,
2005.
WWW Link. Vendor, Range Sensor. Vendor, CAD. Laser scanners, including hand held scanner. Reverse engineering and inspection software.

Advanced Seientific Concepts,
1987.
WWW Link. Vendor, Laser Scanner. Small, real-time sensor, small area covered

ISPRS Terrestrial laser scanning and 3D imaging Datasets,
2008.
HTML Version. Dataset, 3-D Data. 3-D datasets for large scale objects. Sanmarina Byzantine church and Golden Buddha.

Jarvis, R.A.,
A Laser Time-of-Flight Range Scanner for Robotic Vision,
PAMI(5), No. 5, September 1983, pp. 505-512. Implementation and results of a laser scanner. BibRef 8309

Mallinson, R.B.[Richard B.],
Laser altimeter and probe height sensor,
US_Patent4,373,805, Feb 15, 1983
WWW Link. BibRef 8302

Bohlander, P.[Peter], Hippler, H.P.[Heinz-Peter],
Apparatus for the determination of the position of a surface,
US_Patent4,453,083, Jun 5, 1984
WWW Link. BibRef 8406

Rioux, M.,
Laser Range Finder Based on Synchronized Scanners,
AppOpt(23), No. 21, November 1984, pp. 3837-3855 BibRef 8411

Rioux, M.[Marc],
Three dimensional imaging device,
US_Patent5,018,854, May 28, 1991
WWW Link. BibRef 9105

Baribeau, R., Rioux, M.,
Influence of Speckle on Laser Range Finders,
AppOpt(30), No. 20, 1991, pp. 2873-2878. BibRef 9100

Carrihill, B.[Brian], Hummel, R.A.[Robert A.],
Experiments with the Intensity Ratio Data Sensor,
CVGIP(32), No. 3, December 1985, pp. 337-358.
Elsevier DOI Depth with a plane of light illumination using the ratio of intensity. BibRef 8512

Lambeth, D.N.[David N.],
Rangefinder device with focused elongated light source,
US_Patent4,494,868, Jan 22, 1985
WWW Link. BibRef 8501

Bastuscheck, C.M., Schwartz, J.T.,
Experimental Implementation of a Ratio Image Depth Sensor,
T3DMP86(1-12). BibRef 8600

Bastuscheck, C.M.,
Techniques for Real-Time Generation of Range Images,
CVPR89(262-268).
IEEE DOI BibRef 8900

Corby, Jr., N.R.[Nelson R.],
Integrated range and luminance camera,
US_Patent4,687,326, Aug 18, 1987
WWW Link. BibRef 8708

Kobayashi, T.[Takao],
Method and apparatus for measuring distance by laser beam,
US_Patent4,729,653, Mar 8, 1988
WWW Link. BibRef 8803

Case, S.K.[Steven K.], Keil, R.E.[Robert E.], Konicek, J.[John],
Laser probe for determining distance,
US_Patent4,733,969, Mar 29, 1988
WWW Link. BibRef 8803

Case, S.K.[Steven K.], Keil, R.E.[Robert E.], Jalkio, J.A.[Jeffrey A.],
Point and line range sensors,
US_Patent4,891,772, Jan 2, 1990
WWW Link. BibRef 9001

Scott, M.W.,
Range Imaging Laser Radar,
US_Patent4,935,616, 1990.
WWW Link. BibRef 9000

Tsikos, C.J.[Constantine J.],
Laser range imaging system based on projective geometry,
US_Patent4,979,815, Dec 25, 1990
WWW Link. BibRef 9012

Saint-Marc, P., Jezouin, J.L., Medioni, G.,
A Versatile PC-Based Range Finding System,
RA(7), No. 2, April 1991, pp. 250-256. BibRef 9104 USC Computer Vision BibRef
Earlier: A2, A1, A3:
Building an Accurate Range Finder with off the Shelf Components,
CVPR88(195-200).
IEEE DOI Computation required with one camera and plane of light. BibRef

Hebert, M.[Martial], Krotkov, E.[Eric],
3D Measurements from Imaging Laser Radars: How Good Are They?,
IVC(10), No. 3, April 1992, pp. 170-178.
Elsevier DOI BibRef 9204
Earlier: IROS91(359-364). Amplitude-modulated continuous-wave laser radars. BibRef

Kaman, C.H.[Charles H.], Ulich, B.L.[Bobby L.], Mayerjak, R.[Robert], Schafer, G.[George],
Imaging lidar system,
US_Patent5,231,401, Jul 27, 1993
WWW Link. Pulsed laser BibRef 9307

Carmer, D.C., and Peterson, L.M.,
Laser Radar in Robotics,
PIEEE(84), 1996, pp. 299-320. BibRef 9600

Jones, P.R.M., Rioux, M.,
Three-Dimensional Surface Anthropometry: Applications to the Human-Body,
OptLas(28), No. 2, 1997, pp. 89-117. 9708
BibRef

Rioux, M.,
Color 3-D Electronic Imaging of the Surface of the Human-Body,
OptLas(28), No. 2, 1997, pp. 119-135. 9708
BibRef

Jelalian, A.V.,
Special Issue on Laser-Radar,
PIEEE(84), No. 2, February 1996, pp. 99-102. BibRef 9602

Osche, G.R., Young, D.S.,
Imaging Laser-Radar in the Near and Far-Infrared,
PIEEE(84), No. 2, February 1996, pp. 103-125. BibRef 9602

Babbitt, W.R.[W. Randall], Bell, J.A.[John A.], Capron, B.A.[Barbara A.], de Groot, P.J.[Peter J.], Hagman, R.L.[Ronald L.], McGarvey, J.A.[John A.], Sherman, W.D.[William D.], Sjoholm, P.F.[Paul F.],
Method and apparatus for measuring distance to a target,
US_Patent5,589,928, Dec 31, 1996
WWW Link. BibRef 9612

Greer, D.R., Fung, I., Shapiro, J.H.,
Maximum-Likelihood Multiresolution Laser-Radar Range Imaging,
IP(6), No. 1, January 1997, pp. 36-46.
IEEE DOI 9703
BibRef

Linney, A.D., Campos, J., Richards, R.,
Noncontact Anthropometry Using Projected Laser Line Distortion: Three-Dimensional Graphic Visualization and Applications,
OptLas(28), No. 2, 1997, pp. 137-155. 9708
BibRef

Pargas, R.P., Staples, N.J., Davis, J.S.,
Automatic-Measurement Extraction for Apparel from a Three-Dimensional Body Scan,
OptLas(28), No. 2, 1997, pp. 157-172. 9708
BibRef

Ackermann, F.[Friedrich],
Airborne laser scanning: Present status and future expectations,
PandRS(54), No. 2-3, July 1999, pp. 64-67. Issue Overview. BibRef 9907

Wehr, A.[Aloysius], Lohr, U.[Uwe],
Airborne laser scanning: An introduction and overview,
PandRS(54), No. 2-3, July 1999, pp. 68-82. BibRef 9907

Baltsavias, E.P.[Emmanuel P.],
A comparison between photogrammetry and laser scanning,
PandRS(54), No. 2-3, July 1999, pp. 83-94. BibRef 9907

Albamont, J.[James], Goshtasby, A.[Ardeshir],
A range scanner with a virtual laser,
IVC(21), No. 3, March 2003, pp. 271-284.
Elsevier DOI 0301
BibRef

Koh, I.S.[Il-Suek], Wang, F.N.[Fei-Nian], Sarabandi, K.,
Estimation of coherent field attenuation through dense foliage including multiple scattering,
GeoRS(41), No. 5, May 2003, pp. 1132-1135.
IEEE Abstract. 0307
BibRef

Zagorchev, L.[Lyubomir], Goshtasby, A.[Ardeshir],
A paintbrush laser range scanner,
CVIU(101), No. 2, February 2005, pp. 65-86.
Elsevier DOI 0512
BibRef

Goren, D.P.[David P.], Katz, J.[Joseph], Bergstein, L.[Leonard],
Design of Extended Depth-of-Focus Laser Beams Using Orthogonal Beam Expansions,
JASP(2005), No. 10, 2005, pp. 1617-1623.
WWW Link. 0603
BibRef

Wallace, A.M., Sung, R.C.W., Buller, G.S., Harkins, R.D., Warburton, R.E., Lamb, R.A.,
Detecting and characterising returns in a pulsed ladar system,
VISP(153), No. 2, April 2006, pp. 160-172.
DOI Link 0604
BibRef

Medina, A.[Antonio], Gayá, F.[Francisco], del Pozo, F.[Francisco],
Compact laser radar and three-dimensional camera,
JOSA-A(23), No. 4, April 2006, pp. 800-805.
WWW Link. 0610
BibRef

Jutzi, B.[Boris], Stilla, U.[Uwe],
Range determination with waveform recording laser systems using a Wiener Filter,
PandRS(61), No. 2, November 2006, pp. 95-107.
Elsevier DOI 0703
Award, ISPRS. Laser scanning, Waveform analysis, Signal processing, Feature extraction BibRef

Hernandez-Marin, S.[Sergio], Wallace, A.M.[Andrew M.], Gibson, G.J.[Gavin J.],
Bayesian Analysis of Lidar Signals with Multiple Returns,
PAMI(29), No. 12, December 2007, pp. 2170-2180.
IEEE DOI 0711
BibRef
Earlier:
Spatial modelling of multi-layered LiDAR images using reversible jump MCMC,
BMVC07(xx-yy).
PDF File. 0709
BibRef
Earlier:
Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms,
ISVC06(II: 405-416).
Springer DOI 0611
Multiple returns from laser scanner to get multiple layers. Markov chain Monte Carlo. BibRef

Hernandez-Marin, S.[Sergio], Wallace, A.M.[Andrew M.], Gibson, G.J.[Gavin J.],
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework,
PAMI(30), No. 6, June 2008, pp. 1028-1040.
IEEE DOI 0804
BibRef

Froehlich, C.[Christoph], Mettenleiter, M.[Markus], Zebandt, M.[Martin],
Laser measurement system,
US_Patent7,190,465, Mar 13, 2007
WWW Link. BibRef 0703

Kirchhof, M.[Michael], Jutzi, B.[Boris], Stilla, U.[Uwe],
Iterative processing of laser scanning data by full waveform analysis,
PandRS(63), No. 1, January 2008, pp. 99-114.
Elsevier DOI 0711
Laser scanning, Waveform analysis, Feature extraction BibRef

Banno, A.[Atsuhiko], Masuda, T., Oishi, T., Ikeuchi, K.[Katsushi],
Flying Laser Range Sensor for Large-Scale Site-Modeling and Its Applications in Bayon Digital Archival Project,
IJCV(78), No. 2-3, July 2008, pp. 207-222.
Springer DOI 0803
BibRef

Banno, A.[Atsuhiko], Ikeuchi, K.[Katsushi],
Determination of motion parameters of a moving range sensor approximated by polynomials for rectification of distorted 3D data,
MVA(22), No. 6, November 2011, pp. 889-897.
WWW Link. 1110
BibRef

Banno, A.[Atsuhiko], Ikeuchi, K.[Katsushi],
Shape Rectification of 3D Data Obtained by a Moving Range Sensor by using Image Sequences,
DACO08(13-32). 0812
BibRef
Earlier:
Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences,
ICCV05(I: 792-799).
IEEE DOI 0510
BibRef

Banno, A.[Atsuhiko], Hasegawa, K.[Kazuhide], Ikeuchi, K.[Katsushi],
Recovery of Distorted Shapes Obtained from the Flying Laser Range Sensor for Large-Scale Cultural Heritages,
CREST05(50-57).
WWW Link. 0505
BibRef

Masuda, T.[Tomohito], Hirota, Y.[Yuichiro], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Distortion Correction of Range Data Obtained from Floating Laser Range Sensor using Parameterized Deformation Registration,
CREST05(73-78).
WWW Link. 0505
BibRef

Hasegawa, K.[Kazuhide], Hirota, Y.[Yuichiro], Ogawara, K.[Koichi], Kurazume, R.[Ryo], Ikeuchi, K.[Katsuhsi],
Flying Laser Range Sensor: A Novel Aerial Sensing System for Large-scale Heritage,
CREST05(28-33).
WWW Link. 0505
BibRef

Shao, Y.C.[Yi-Chen], Chen, L.C.[Liang-Chien],
Automated Searching of Ground Points from Airborne Lidar Data Using a Climbing and Sliding Method,
PhEngRS(74), No. 5, May 2008, pp. 625-636.
WWW Link. 0804
A new slope-based filtering method, climbing-and-sliding, to select ground points from lidar point clouds for terrain modeling. BibRef

Ono, S.[Shintaro], Matsui, K.[Ken], Ikeuchi, K.[Katsushi],
The Climbing Sensor: 3D Modeling of Narrow Areas by Using Space-Time Analysis,
DACO08(33-48). 0812
BibRef

Mallet, C.[Clement], Bretar, F.[Frederic],
Full-waveform topographic lidar: State-of-the-art,
PandRS(64), No. 1, January 2009, pp. 1-16.
Elsevier DOI 0804
Lidar systems, Full-waveform data, Literature survey, Waveform analysis, Signal processing BibRef

Wang, Y.F.[Yan-Fei], Zhang, J.Z.[Jian-Zhong], Roncat, A.[Andreas], Künzer, C.[Claudia], Wagner, W.[Wolfgang],
Regularizing method for the determination of the backscatter cross section in lidar data,
JOSA-A(26), No. 5, May 2009, pp. 1071-1079.
WWW Link. 0905
BibRef

Roncat, A.[Andreas], Bergauer, G.[Gunther], Pfeifer, N.[Norbert],
B-spline deconvolution for differential target cross-section determination in full-waveform laser scanning data,
PandRS(66), No. 4, July 2011, pp. 418-428.
Elsevier DOI 1107
BibRef
Earlier:
Retrieval of the Backscatter Cross-Section in Full-Waveform Lidar Data using B-Splines,
PCVIA10(B:137).
PDF File. 1009
Laser scanning, Full-waveform, Deconvolution, Linear estimation BibRef

Wagner, W., Roncat, A., Melzer, T., Ullrich, A.,
Waveform Analysis Techniques in Airborne Laser Scanning,
Laser07(413).
PDF File. 0709
Keynote Talk BibRef

Yao, W., Stilla, U.,
Mutual Enhancement of Weak Laser Pulses for Point Cloud Enrichment Based on Full-Waveform Analysis,
GeoRS(48), No. 9, September 2010, pp. 3571-3579.
IEEE DOI 1008
BibRef

Bohme, M.[Martin], Haker, M.[Martin], Martinetz, T.[Thomas], Barth, E.[Erhardt],
Shading constraint improves accuracy of time-of-flight measurements,
CVIU(114), No. 12, December 2010, pp. 1329-1335.
Elsevier DOI 1011
BibRef
Earlier: TOF-CV08(1-6).
IEEE DOI 0806
Time-of-flight camera, Range map, Range sensor, Shading constraint; Shape from shading, Probabilistic image model BibRef

Kolb, A.[Andreas], Barth, E.[Erhardt], Koch, R.[Reinhard],
ToF-sensors: New dimensions for realism and interactivity,
TOF-CV08(1-6).
IEEE DOI 0806
BibRef

Glastre, W.[Wilfried], Jacquin, O.[Olivier], Hugon, O.[Olivier], de Chatellus, H.G.[Hugues Guillet], Lacot, E.[Eric],
Synthetic aperture laser optical feedback imaging using a translational scanning with galvanometric mirrors,
JOSA-A(29), No. 8, August 2012, pp. 1639-1647.
WWW Link. 1208
BibRef

Guilleme, P.[Pierre], Lacot, E.[Eric], Jacquin, O.[Olivier], Glastre, W.[Wilfried], Hugon, O.[Olivier], de Chatellus, H.G.[Hugues Guillet],
Laser optical feedback imaging controlled by an electronic feedback loop,
JOSA-A(30), No. 11, November 2013, pp. 2205-2215.
DOI Link 1311
Laser sensors, Interferometric imaging BibRef

Ussyshkin, V., Theriault, L.,
Airborne Lidar: Advances in Discrete Return Technology for 3D Vegetation Mapping,
RS(3), No. 3, March 2011, pp. 416-434.
DOI Link 1203
BibRef

Ussyshkin, V.[Valerie],
Enhanced discrete return technology for 3D vegetation mapping,
SPIE(Newsroom), June 13, 2011
DOI Link 1106
New airborne light detection and ranging sensors may bridge the niche applications of discrete return and full waveform technologies. Multiple discrete returns for forest mapping. BibRef

Mao, X., Inoue, D., Kato, S., Kagami, M.,
Amplitude-Modulated Laser Radar for Range and Speed Measurement in Car Applications,
ITS(13), No. 1, March 2012, pp. 408-413.
IEEE DOI 1203
BibRef

Mao, X., Inoue, D., Matsubara, H., Kagami, M.,
Demonstration of In-Car Doppler Laser Radar at 1.55 mu-m for Range and Speed Measurement,
ITS(14), No. 2, 2013, pp. 599-607.
IEEE DOI 1307
Doppler effect, Laser radar, Amplitude modulation BibRef

Adams, T., Beets, P., Parrish, C.,
Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape,
RS(4), No. 3, March 2012, pp. 682-702;.
DOI Link 1204
BibRef

Dal Mutto, C.[Carlo], Zanuttigh, P.[Pietro], Cortelazzo, G.M.[Guido M.],
Time-of-Flight Cameras and Microsoft Kinect™,
Springer2012, ISBN: 978-1-4614-3806-9
WWW Link.

Zhang, Z.Y.[Zheng-You],
Microsoft Kinect Sensor and Its Effect,
MultMedMag(19), No. 1, January-March 2012, pp. 4-10.
IEEE DOI 1202
Award, Best Department Article, 2015. BibRef

Piatti, D., Rinaudo, F.,
SR-4000 and CamCube3.0 Time of Flight (ToF) Cameras: Tests and Comparison,
RS(4), No. 4, April 2012, pp. 1069-1089.
DOI Link 1202
BibRef

Osorio, M.F., Salazar, A., Prieto, F., Boulanger, P., Figueroa, P.,
Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing,
MVA(23), No. 4, July 2012, pp. 761-772.
WWW Link. 1206
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Schwartz, S.[Shimon], Wong, A.[Alexander], Clausi, D.A.[David A.],
Saliency-guided compressive sensing approach to efficient laser range measurement,
JVCIR(24), No. 2, February 2013, pp. 160-170.
Elsevier DOI 1302
BibRef
Earlier:
Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements,
CRV12(1-8).
IEEE DOI 1207
Range measurement, Range data acquisition, Compressed sampling; Compressive sensing, 3-D data reconstruction, Laser measurements; Saliency, Sparse measurements model BibRef

Duong, H.V., Lefsky, M.A., Ramond, T., Weimer, C.,
The Electronically Steerable Flash Lidar: A Full Waveform Scanning System for Topographic and Ecosystem Structure Applications,
GeoRS(50), No. 11, November 2012, pp. 4809-4820.
IEEE DOI 1210
BibRef

Hansard, M., Lee, S., Choi, O., Horaud, R.,
Time-of-Flight Cameras: Principles, Methods and Applications,
Springer2013. ISBN: 978-1-4471-4657-5

Lapchuk, A.[Anatoliy], Kryuchyn, A.[Andriy], Petrov, V.[Vyacheslav], Yurlov, V.[Victor], Klymenko, V.[Volodymyr],
Full speckle suppression in laser projectors using two Barker code-type diffractive optical elements,
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Lapchuk, A., Kryuchyn, A., Petrov, V., Shyhovets, O.V., Pashkevich, G.A., Bogdan, O.V., Kononov, A., Klymenko, A.,
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Remondino, F.[Fabio], Stoppa, D.[David], (Eds.)
TOF Range-Imaging Cameras,
Springer2013. ISBN 978-3-642-27522-7.

Traïche, M.[Mohammed], Kedadra, A.[Abdelkrim],
A dual lidar system for environmental studies,
SPIE(Newsroom), June 21, 2013
DOI Link 1308
A remote sensing system will help detect forest fires in northern Algeria, and monitor sand aerosols from the Sahara and cement plants in the Algiers metropolitan area. BibRef

Wu, S.H.[Song-Hua], Song, X.Q.[Xiao-Quan], Liu, B.Y.[Bing-Yi],
Fraunhofer Lidar Prototype in the Green Spectral Region for Atmospheric Boundary Layer Observations,
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Lange, D., Tiana-Alsina, J., Saeed, U., Tomas, S., Rocadenbosch, F.,
Atmospheric Boundary Layer Height Monitoring Using a Kalman Filter and Backscatter Lidar Returns,
GeoRS(52), No. 8, August 2014, pp. 4717-4728.
IEEE DOI 1403
Aerosols BibRef

Lange, D., Rocadenbosch, F., Tiana-Alsina, J., Frasier, S.,
Atmospheric Boundary Layer Height Estimation Using a Kalman Filter and a Frequency-Modulated Continuous-Wave Radar,
GeoRS(53), No. 6, June 2015, pp. 3338-3349.
IEEE DOI 1503
atmospheric boundary layer BibRef

Apartsin, A., Cooper, L.N., Intrator, N.,
Time-of-Flight Estimation in the Presence of Outliers Part I: Single Echo Processing,
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IEEE DOI 1403
Bandwidth BibRef

Apartsin, A., Cooper, L.N., Intrator, N.,
Time-of-Flight Estimation in the Presence of Outliers. Part II: Multiple Echo Processing,
GeoRS(52), No. 7, July 2014, pp. 3843-3850.
IEEE DOI 1403
Correlation BibRef

Guaitiao, C.O., Hafner, M., Sobarzo, S.K., Riepl, S., Torres, S.N., Pedreros, F., Arias, L.,
Two-Color Satellite Laser Ranging Measurements at 10 Hz and 100 Hz at TIGO,
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Crystals BibRef

Langmann, B., Weihs, W., Hartmann, K., Loffeld, O.,
Development and Investigation of a Long-Range Time-of-Flight and Color Imaging System,
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Cameras BibRef

Conte, G.[Gianpaolo], Rudol, P.[Piotr], Doherty, P.[Patrick],
Evaluation of a Light-weight Lidar and a Photogrammetric System for Unmanned Airborne Mapping Applications,
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Droeschel, D., Schreiber, M., Behnke, S.,
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Castorena, J.[Juan], Creusere, C.D.[Charles D.],
Sampling of Time-Resolved Full-Waveform LIDAR Signals at Sub-Nyquist Rates,
GeoRS(53), No. 7, July 2015, pp. 3791-3802.
IEEE DOI 1503
BibRef
Earlier:
Random impulsive scan for lidar sampling,
ICIP12(365-368).
IEEE DOI 1302
Approximation methods BibRef

Eixmann, R., Gerding, M., Hoffner, J., Kopp, M.,
Lidars With Narrow FOV for Daylight Measurements,
GeoRS(53), No. 8, August 2015, pp. 4548-4553.
IEEE DOI 1506
atmospheric optics BibRef

Al-Temeemy, A.A.[Ali A.], Spencer, J.W.[Joseph W.],
Invariant chromatic descriptor for LADAR data processing,
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Wang, C., Tseng, Y., Wang, C.,
A Wavelet-Based Echo Detector for Waveform LiDAR Data,
GeoRS(54), No. 2, February 2016, pp. 757-769.
IEEE DOI 1601
Detectors BibRef

Azadbakht, M.[Mohsen], Fraser, C.S.[Clive S.], Khoshelham, K.[Kourosh],
A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data,
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Bhandari, A., Raskar, R.,
Signal Processing for Time-of-Flight Imaging Sensors: An introduction to inverse problems in computational 3-D imaging,
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IEEE DOI 1610
frequency-domain analysis BibRef

Gong, W.L.[Wen-Lin], Yu, H.[Hong], Zhao, C.Q.[Cheng-Qiang], Bo, Z.W.[Zun-Wang], Chen, M.L.[Ming-Liang], Xu, W.D.[Wen-Dong],
Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique,
RS(8), No. 12, 2016, pp. 991.
DOI Link 1612
obtain both the range information and spatial distribution of a remote target with the use of the measurements below the Nyquist limit BibRef

Church, P.[Philip], Matheson, J.[Justin], Roy, G.[Gilles],
Steerable LiDAR platform based on a 3D laser scanner using prisms,
SPIE(Newsroom), January 19, 2017
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IEEE DOI 1906
Laser radar, Receivers, Detectors, Measurement by laser beam, Electrooptic modulators, Optical transmitters, Laser beams, target detection BibRef

Chen, B.[Bowen], Shi, S.[Shuo], Gong, W.[Wei], Sun, J.[Jia], Chen, B.[Biwu], Du, L.[Lin], Yang, J.[Jian], Guo, K.[Kuanghui], Zhao, X.[Xingmin],
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IEEE DOI 1909
Photonics, Measurement by laser beam, Shape, Histograms, Surface emitting lasers, Rough surfaces, Surface roughness, photoncounting BibRef

Roberts, K.C.[Kevin C.], Lindsay, J.B.[John B.], Berg, A.A.[Aaron A.],
An Analysis of Ground-Point Classifiers for Terrestrial LiDAR,
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Diode lasers, Free space optics, Laser beams, Optical networks, Stochastic gradient descent, Tunable diode lasers BibRef

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ICIP17(2114-2118)
IEEE DOI 1803
Cameras, Optical imaging, Optical sensors, Robot sensing systems, Estimation, Time-of-flight camera, RGB-D. Estimation, Robot sensing systems, Approximation algorithms, 3D motion estimation. augmented reality, image colour analysis, image sensors, low-power electronics, robots, battery life, time-of-flight camera BibRef

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Algorithms and Systems for Low Power Time-of-Flight Imaging,
ICIP19(3023-3024)
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Very Power Efficient Neural Time-of-Flight,
WACV20(2246-2255)
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Cameras, Lighting, Pipelines, Noise measurement, Robot sensing systems, Signal to noise ratio BibRef

Sterenczak, K.[Krzysztof], Laurin, G.V.[Gaia Vaglio], Chirici, G.[Gherardo], Coomes, D.A.[David A.], Dalponte, M.[Michele], Latifi, H.[Hooman], Puletti, N.[Nicola],
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Laser radar, Measurement by laser beam, Vertical cavity surface emitting lasers, Laser beams, Autonomous vehicles BibRef

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Snapshot Compressive ToF+Spectral Imaging via Optimized Color-Coded Apertures,
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Apertures, Cameras, Lenses, Image coding, Optical imaging, Compressive spectral imaging, MS+D BibRef

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Compressive and non-uniform sampling, compressive sensing, depth data acquisition, light detection and ranging (LiDAR), sparse representation BibRef

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Concurrent Firing Light Detection and Ranging System for Autonomous Vehicles,
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Lidar with 128 channels. BibRef

Li, F.Q.[Feng-Qiang], Willomitzer, F.[Florian], Balaji, M.M.[Muralidhar Madabhushi], Rangarajan, P.[Prasanna], Cossairt, O.[Oliver],
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PAMI(43), No. 7, July 2021, pp. 2193-2205.
IEEE DOI 2106
Sensors, Optical interferometry, Image resolution, Frequency measurement, Wavelength measurement, optical interferometry BibRef

Zhao, Y.Y.[Yong-Yi], Raghuram, A.[Ankit], Kim, H.K.[Hyun K.], Hielscher, A.H.[Andreas H.], Robinson, J.T.[Jacob T.], Veeraraghavan, A.[Ashok],
High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography,
PAMI(43), No. 7, July 2021, pp. 2206-2219.
IEEE DOI 2106
US Department of Transportation, Imaging, Photonics, Spatial resolution, Scattering, Detectors, Optical imaging, fluorescence imaging BibRef

Cremons, D.R.[Daniel R.], Sun, X.L.[Xiao-Li], Abshire, J.B.[James B.], Mazarico, E.[Erwan],
Small PN-Code Lidar for Asteroid and Comet Missions: Receiver Processing and Performance Simulations,
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DOI Link 2106
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Chen, P.[Peng], Jamet, C.[Cédric], Mao, Z.H.[Zhi-Hua], Pan, D.[Delu],
OLE: A Novel Oceanic Lidar Emulator,
GeoRS(59), No. 11, November 2021, pp. 9730-9744.
IEEE DOI 2111
Laser radar, Scattering, Photonics, Receivers, Mathematical model, Analytical models, Indexes, Light detection and ranging (lidar), stratified water BibRef

Liu, C.[Chang], Xu, L.J.[Li-Jun], Si, L.[Lin], Li, X.L.[Xiao-Lu], Li, D.[Duan], Huang, J.B.[Jian-Bin], He, Y.T.[Yun-Tao],
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IEEE DOI 2112
Deconvolution, Laser radar, Forestry, Lasers, Vegetation, Splines (mathematics), full waveform light detection and ranging (LiDAR) BibRef

Qian, L.Y.[Li-Yong], Wu, D.C.[De-Cheng], Liu, D.[Dong], Song, S.L.[Sha-Lei], Shi, S.[Shuo], Gong, W.[Wei], Wang, L.[Le],
Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System,
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DOI Link 2112
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Yan, S.Y.[Shi-Yu], Yang, G.H.[Guo-Hui], Li, Q.Y.[Qing-Yan], Wang, Y.[Yue], Wang, C.H.[Chun-Hui],
Research of Distance-Intensity Imaging Algorithm for Pulsed LiDAR Based on Pulse Width Correction,
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Kim, G.[Gunzung], Eom, J.[Jeongsook], Park, Y.[Yongwan],
Alien Pulse Rejection in Concurrent Firing LIDAR,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Learning to Predict Lidar Intensities,
ITS(23), No. 4, April 2022, pp. 3556-3564.
IEEE DOI 2204
Simulate LiDAR data. Laser radar, Cameras, Sensors, Games, Computational modeling, Automobiles, Robotics, simulation, sensor development, intelligent transportation systems BibRef

Zhang, Z.H.[Zhen-Hua], Chen, P.[Peng], Mao, Z.H.[Zhi-Hua],
SOLS: An Open-Source Spaceborne Oceanic Lidar Simulator,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
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Hansen, J.N.[Johannes N.], Hancock, S.[Steven], Prade, L.[Ludwig], Bonner, G.M.[Gerald M.], Chen, H.[Haochang], Davenport, I.[Ian], Jones, B.E.[Brynmor E.], Purslow, M.[Matthew],
Assessing Novel Lidar Modalities for Maximizing Coverage of a Spaceborne System through the Use of Diode Lasers,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Xue, J.[Jiyu], Cao, Y.[Yunhua], Qu, T.[Tan], Wu, Z.[Zhensen], Li, Y.H.[Yan-Hui], Zhang, G.[Geng], Yang, K.[Kai],
Inverse Synthetic Aperture LiDAR Imaging of Rough Targets under Small Rotation Angles,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
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Tan, C.S.[Chang-Sheng], Kong, W.[Wei], Huang, G.[Genghua], Hou, J.[Jia], Jia, S.L.[Shao-Lei], Chen, T.[Tao], Shu, R.[Rong],
Design and Demonstration of a Novel Long-Range Photon-Counting 3D Imaging LiDAR with 32X32 Transceivers,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Yan, Z.Q.[Zhi-Qiang], Wang, H.Y.[Hong-Yuan], Liu, X.[Xiang], Ning, Q.H.[Qian-Hao], Lu, Y.[Yinxi],
Physics-Based TOF Imaging Simulation for Space Targets Based on Improved Path Tracing,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Ning, Q.[Qianhao], Wang, H.Y.[Hong-Yuan], Yan, Z.Q.[Zhi-Qiang], Liu, X.[Xiang], Lu, Y.[Yinxi],
Space-Based THz Radar Fly-Around Imaging Simulation for Space Targets Based on Improved Path Tracing,
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DOI Link 2309
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Automotive LiDAR Technology: A Survey,
ITS(23), No. 7, July 2022, pp. 6282-6297.
IEEE DOI 2207
Laser radar, Sensors, Automotive engineering, Autonomous vehicles, Automobiles, Wavelength measurement, Autonomous vehicles, LiDAR, ToF BibRef

Li, P.[Peng], Zhang, Y.T.[Ya-Ting], Yao, J.Q.[Jian-Quan],
Rapid Linear Frequency Swept Frequency-Modulated Continuous Wave Laser Source Using Iterative Pre-Distortion Algorithm,
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DOI Link 2208
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Singer, N.[Nina], Asari, V.K.[Vijayan K.],
View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Guo, R.[Rui], Jiang, Z.[Zheyi], Jin, Z.H.[Zhi-Han], Zhang, Z.[Zhao], Zhang, X.Y.[Xin-Yuan], Guo, L.[Liang], Hu, Y.H.[Yi-Hua],
Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Jin, L.Q.[Li-Qin], Mann, J.[Jakob], Sjöholm, M.[Mikael],
Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Qi, B.L.[Bao-Ling], Wang, L.J.[Li-Jun], Guo, D.B.[Dong-Bin], Wang, C.H.[Chun-Hui],
Energy-Barycenter Based Waveform Centroid Algorithm for Pulse Lidar Ranging System,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Shu, D.W.[Dong Wook], Park, S.W.[Sung Woo], Kwon, J.[Junseok],
Wasserstein distributional harvesting for highly dense 3D point clouds,
PR(132), 2022, pp. 108978.
Elsevier DOI 2209
Sampled 3D points from a surface. 3D point cloud harvesting, Progressive sampling, Stochastic instance normalization BibRef

Xia, Y.H.[Yu-Hao], Xu, S.L.[Shi-Long], Fang, J.J.[Jia-Jie], Hou, A.[Ahui], Chen, Y.L.[You-Long], Zhang, X.Y.[Xin-Yuan], Hu, Y.H.[Yi-Hua],
A Novel Waveform Decomposition and Spectral Extraction Method for 101-Channel Hyperspectral LiDAR,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Bartoccioni, F.[Florent], Zablocki, É.[Éloi], Pérez, P.[Patrick], Cord, M.[Matthieu], Alahari, K.[Karteek],
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR,
CVIU(227), 2023, pp. 103601.
Elsevier DOI 2301
Depth estimation, Self-supervised, Minimal LiDAR, 3D scene understanding BibRef

Yan, L.[Li], Dai, J.C.[Ji-Cheng], Zhao, Y.H.[Ying-Hao], Chen, C.J.[Chang-Jun],
Real-Time 3D Mapping in Complex Environments Using a Spinning Actuated LiDAR System,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Qiao, X.[Xin], Ge, C.Y.[Chen-Yang], Deng, P.[Pengchao], Wei, H.[Hao], Poggi, M.[Matteo], Mattoccia, S.[Stefano],
Depth Restoration in Under-Display Time-of-Flight Imaging,
PAMI(45), No. 5, May 2023, pp. 5668-5683.
IEEE DOI 2304
Cameras, Image restoration, Noise reduction, Task analysis, Noise measurement, Imaging, Sensors, Time-of-flight, CNN BibRef

Wang, S.Y.[Shu-Yi], Mao, C.Y.[Cheng-Yang], Ma, Y.[Yang], Liu, J.Z.[Jin-Zhou], Yu, B.[Bin],
Examining the feasibility of current spiral curve design controls for LiDAR-based automated vehicles,
IET-ITS(17), No. 5, 2023, pp. 848-866.
DOI Link 2305
automated vehicle, available sight distance, LiDAR, spiral curve, virtual simulation BibRef

Agishev, R.[Ravil], Wang, Z.Z.[Zhen-Zhu], Liu, D.[Dong],
Designing CW Range-Resolved Environmental S-Lidars for Various Range Scales: From a Tabletop Test Bench to a 10 km Path,
RS(15), No. 13, 2023, pp. 3426.
DOI Link 2307
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Chen, Y.Q.[Yong-Qiang], Guo, S.[Shouchuan], He, Y.[Yan], Luo, Y.[Yuan], Chen, W.[Weibiao], Hu, S.[Shanjiang], Huang, Y.F.[Yi-Fan], Hou, C.H.[Chun-He], Su, S.[Sheng],
Simulation and Design of an Underwater Lidar System Using Non-Coaxial Optics and Multiple Detection Channels,
RS(15), No. 14, 2023, pp. 3618.
DOI Link 2307
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Wu, K.L.[Kai-Lan], Wu, J.G.[Jin-Gui], Peng, B.[Bo], Jia, J.J.[Jian-Jun], Luo, H.G.[Hong-Gang], Wang, Y.[Yun], Zheng, Y.C.[Yong-Chao], Yang, Y.C.[Yi-Chao], Lin, X.L.[Xu-Ling], Lau, Y.K.[Yun-Kau],
Tilt-to-Length Coupling Analysis of an Off-Axis Optical Bench Design for NGGM,
RS(15), No. 15, 2023, pp. xx-yy.
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Sensor design for GRACE follor-on mission. BibRef

Luo, Y.[Yaotao], Xie, D.H.[Dong-Hui], Qi, J.B.[Jian-Bo], Zhou, K.[Kun], Yan, G.J.[Guang-Jian], Mu, X.[Xihan],
LESS LiDAR: A Full-Waveform and Discrete-Return Multispectral LiDAR Simulator Based on Ray Tracing Algorithm,
RS(15), No. 18, 2023, pp. 4529.
DOI Link 2310
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Du, L.F.[Li-Fang], Zheng, H.R.[Hao-Ran], Xiao, C.L.[Chun-Lei], Cheng, X.[Xuewu], Wu, F.[Fang], Jiao, J.[Jing], Xun, Y.C.[Yu-Chang], Chen, Z.S.[Zhi-Shan], Wang, J.Q.[Ji-Qin], Yang, G.[Guotao],
The All-Solid-State Narrowband Lidar Developed by Optical Parametric Oscillator/Amplifier (OPO/OPA) Technology for Simultaneous Detection of the Ca and Ca+ Layers,
RS(15), No. 18, 2023, pp. 4566.
DOI Link 2310
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Watts, M.R.[Michael R.], Poulton, C.[Christopher], Byrd, M.[Matthew], Smolka, G.[Greg],
Lidar on a Chip Enters the Fast Lane: Sensors for Self-Driving Cars and Robots will be Tiny, Reliable, and Affordable,
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IEEE DOI 2310
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Liao, Y.P.[Yu-Peng], Shangguan, M.J.[Ming-Jia], Yang, Z.F.[Zhi-Feng], Lin, Z.[Zaifa], Wang, Y.L.[Yuan-Lun], Li, S.[Sihui],
GPU-Accelerated Monte Carlo Simulation for a Single-Photon Underwater Lidar,
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Lee, J.[Jongho], Gupta, M.[Mohit],
Mitigating AC and DC Interference in Multi-ToF-Camera Environments,
PAMI(45), No. 12, December 2023, pp. 15005-15017.
IEEE DOI 2311
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Wei, J.F.[Jun-Feng], Liu, L.[Linmei], Cheng, X.[Xuewu], Fan, Y.[Yi], Zhan, W.Q.[Wei-Qiang], Du, L.F.[Li-Fang], Xiong, W.[Wei], Lin, Z.X.[Zhao-Xiang], Yang, G.[Guotao],
Automation in Middle- and Upper-Atmosphere LIDAR Operations: A Maximum Rayleigh Altitude Prediction System Based on Night Sky Imagery,
RS(16), No. 3, 2024, pp. 536.
DOI Link 2402
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Sun, H.B.[Hai-Bin], Wang, Y.C.[Yi-Cheng], Sun, Z.P.[Zhi-Pei], Wang, S.W.[Shao-Wei], Sun, S.L.[Sheng-Li], Jia, J.X.[Jian-Xin], Jiang, C.H.[Chang-Hui], Hu, P.[Peilun], Yang, H.[Haima], Yang, X.[Xing], Karjalnen, M.[Mika], Hyyppä, J.[Juha], Chen, Y.W.[Yu-Wei],
Miniaturizing Hyperspectral Lidar System Employing Integrated Optical Filters,
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Xue, M.[Min], Xing, M.D.[Meng-Dao], Gao, Y.X.[Yue-Xin], Fu, J.X.[Ji-Xiang], Wu, Z.X.[Zhi-Xin], Tang, W.[Wangshuo],
High Resolution Ranging with Small Sample Number under Low SNR Utilizing RIP-OMCS Strategy and AHRC l1 Minimization for Laser Radar,
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LiDAR-in-the-Loop Hyperparameter Optimization,
CVPR23(13404-13414)
IEEE DOI 2309
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Jeon, D.S.[Daniel S.], Meuleman, A.[Andréas], Baek, S.H.[Seung-Hwan], Kim, M.H.[Min H.],
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media,
CVPR23(12353-12362)
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Yu, H.X.[Hong-Xing], Agarwala, S.[Samir], Herrmann, C.[Charles], Szeliski, R.[Richard], Snavely, N.[Noah], Wu, J.J.[Jia-Jun], Sun, D.Q.[De-Qing],
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CVPR23(12521-12530)
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Kotwal, A.[Alankar], Levin, A.[Anat], Gkioulekas, I.[Ioannis],
Passive Micron-Scale Time-of-Flight with Sunlight Interferometry,
CVPR23(4139-4149)
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Megahertz Light Steering Without Moving Parts,
CVPR23(1-12)
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Fisher Information Guidance for Learned Time-of-Flight Imaging,
CVPR22(16313-16322)
IEEE DOI 2210
Training, Photography, Neural networks, Imaging, Prototypes, Encoding, Pattern recognition, Computational photography, Low-level vision BibRef

Baek, S.H.[Seung-Hwan], Heide, F.[Felix],
All-photon Polarimetric Time-of-Flight Imaging,
CVPR22(17855-17864)
IEEE DOI 2210
Geometry, Surface reconstruction, Imaging, Modulation, Reflection, Sensor systems, Scattering parameters, Computational photography, Physics-based vision and shape-from-X BibRef

Spreafico, A., Chiabrando, F., Losè, L.T.[L. Teppati], Tonolo, F.G.[F. Giulio],
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Depth Correction for Time-Of-Flight Camera Using Depth Distortion Dependency on Pulse Width of Irradiated Light,
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IEEE DOI 2201
Radiation effects, Systematics, Pulse measurements, Image color analysis, Measurement uncertainty, Training data, neural network BibRef

Huang, Y.K.[Yu-Kai], Liu, Y.C.[Yueh-Cheng], Wu, T.H.[Tsung-Han], Su, H.T.[Hung-Ting], Chang, Y.C.[Yu-Cheng], Tsou, T.L.[Tsung-Lin], Wang, Y.A.[Yu-An], Hsu, W.H.[Winston H.],
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation,
CVPR21(16701-16711)
IEEE DOI 2111
Laser radar, Costs, Estimation, Robustness, Pattern recognition BibRef

Chugunov, I.[Ilya], Baek, S.H.[Seung-Hwan], Fu, Q.[Qiang], Heidrich, W.[Wolfgang], Heide, F.[Felix],
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging,
CVPR21(9112-9122)
IEEE DOI 2111
Optical imaging, Cameras, Throughput, Adaptive optics, Optical sensors, Relays BibRef

Pittaluga, F., Tasneem, Z., Folden, J., Tilmon, B., Chakrabarti, A., Koppal, S.J.,
Towards a MEMS-based Adaptive LIDAR,
3DV20(1216-1226)
IEEE DOI 2102
Laser radar, Mirrors, Receivers, Micromechanical devices, Optics, Laser beams, Robot sensing systems, LIDAR, Adaptive, Deep Learning BibRef

Jameela, M., Chen, L., Sit, A., Yoo, J., Verheggen, C., Sohn, G.,
Simulation-based Data Augmentation Using Physical Priors for Noise Filtering Deep Neural Network,
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Wang, B., Song, S., Gong, W., Shi, S., Chen, B., Yang, J., Du, L., Sun, J.,
High-precision Ranging Based on Multispectral Full-waveform Lidar,
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Guiotte, F., Rao, M.B., Lefèvre, S., Tang, P., Corpetti, T.,
Relation Network for Full-waveforms Lidar Classification,
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Vallet, J., Gressin, A., Clausen, P., Skaloud, J.,
Airborne and Mobile Lidar, Which Sensors for Which Application?,
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Maebashi, N., Kato, T., Abe, R., Wang, Y., Tachi, T., Kishimoto, N.,
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Manivasagam, S., Wang, S., Wong, K., Zeng, W., Sazanovich, M., Tan, S., Yang, B., Ma, W., Urtasun, R.,
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World,
CVPR20(11164-11173)
IEEE DOI 2008
Robot sensing systems, Laser radar, Solid modeling, Data models, Physics, Vehicle dynamics BibRef

Yang, Z., Chai, Y., Anguelov, D., Zhou, Y., Sun, P., Erhan, D., Rafferty, S., Kretzschmar, H.,
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving,
CVPR20(11115-11124)
IEEE DOI 2008
Image reconstruction, Cameras, Laser radar, Autonomous vehicles, Training, Rendering (computer graphics) BibRef

Alqassab, A.N., Streeter, L., Cree, M.J., Lickfold, C.A., Farrow, V., Lim, S.H.,
Adaptation of Bidirectional Kalman Filter to Multi-Frequency Time-of-Flight Range Imaging,
IVCNZ19(1-6)
IEEE DOI 2004
cameras, discrete Fourier transforms, image capture, image sensors, Kalman filters, range measurements, bidirectional Kalman filter, multi-frequency BibRef

Lickfold, C.A., Streeter, L., Cree, M.J., Scott, J.B.,
Frequency Based Radial Velocity Estimation in Time-of-Flight Range Imaging,
IVCNZ19(1-6)
IEEE DOI 2004
Time-of-flight, range imaging, phase stepping, frequency stepping, radial motion, axial motion, velocity imaging, velocity measurement BibRef

Gruber, T., Julca-Aguilar, F., Bijelic, M., Heide, F.,
Gated2Depth: Real-Time Dense Lidar From Gated Images,
ICCV19(1506-1516)
IEEE DOI 2004
Code, LIDAR.
WWW Link. cameras, image resolution, image sampling, image sensors, optical radar, dense depth camera, learning depth, gated images, Real-time systems BibRef

Gutierrez-Barragan, F.[Felipe], Reza, S.A.[Syed Azer], Velten, A.[Andreas], Gupta, M.[Mohit],
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Teri, S.S., Musliman, I.A.,
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Fouladinejad, F., Matkan, A., Hajeb, M., Brakhasi, F.,
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Salido-Monzú, D., Wieser, A.,
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Graph Based Non-Uniform Sampling and Reconstruction of Depth Maps,
ICIP19(2324-2328)
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Depth reconstruction, graph theory, nonuniform sampling BibRef

Noraky, J., Mathy, C., Cheng, A., Sze, V.,
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time-of-flight cameras, shot noise, depth estimation, motion estimation, low power BibRef

Streeter, L.,
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IEEE DOI 1902
distance measurement, error correction, image coding, image sensors, motion measurement, multiframe process, error correction BibRef

Su, S., Heide, F., Wetzstein, G., Heidrich, W.,
Deep End-to-End Time-of-Flight Imaging,
CVPR18(6383-6392)
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Cameras, Phase measurement, Correlation, Image reconstruction, Frequency measurement, Pipelines BibRef

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Shape, Mirrors, Lattices, Cameras, Shape measurement BibRef

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ICIP18(36-40)
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Apertures, Modulation, Image reconstruction, Hardware, Optical sensors, Depth sensing, random demodulation, compressive LIDAR BibRef

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Individual control of depth-measurements, e.g. sloid state lidar. greedy algorithms, image reconstruction, learning (artificial intelligence), optical radar, optimisation, BibRef

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3d Capturing Performances Of Low-cost Range Sensors For Mass-market Applications,
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Honnungar, S., Holloway, J., Pediredla, A.K., Veeraraghavan, A., Mitra, K.,
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Tommaselli, A.M.G., Torres, F.M.,
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frequency measurement BibRef

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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Single-Photon Imaging, Single Photon .