11.2.2.1 Calibration -- Lidar, Laser Scanner, Depth Sensor, Scanner Error Analysis

Chen, Y.D., Ni, J.,
Dynamic Calibration and Compensation of a 3-D Laser Radar Scanning System,
RA(9), 1993, pp. 318-323. BibRef 9300

Tamura, S.[Shinichi], Kim, E.K.[Eung-Kyeu], Close, R.[Robert], Sato, Y.[Yoshinobu],
Error correction in laser scanner three-dimensional measurement by two-axis model and coarse-fine parameter search,
PR(27), No. 3, March 1994, pp. 331-338.
Elsevier DOI 0401
BibRef

Schneiter, J.L.[John L.],
Laser ranging system calibration device,
US_Patent5,606,409, Feb 25, 1997
WWW Link. BibRef 9702

Huising, E.J., Pereira, L.M.G.[L.M. Gomes],
Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications,
PandRS(53), No. 5, October 1998, pp. 245-261.
Elsevier DOI Award, ISPRS, Best Paper. BibRef 9810

Tiddeman, B., Duffy, N., Rabey, G., Lokier, J.,
Laser-Video Scanner Calibration without the Use of Frame Store,
VISP(145), No. 4, August 1998, pp. 244-248. 9810
BibRef

Wallace, A.M., Zhang, G., Gallaher, Y.,
Scan Calibration or Compensation in a Depth Imaging System,
PRL(19), No. 7, May 1998, pp. 605-612. 9808
BibRef
Earlier: A2, A3, A1:
Correction of Scanning and Projection Errors in an Active Depth Sensor,
BMVC96(Poster Session 1). 9608
Heriot-Watt University BibRef

Reagan, J.A., Wang, X., Osborn, M.T.,
Spaceborne lidar calibration from cirrus and molecular backscatter returns,
GeoRS(40), No. 10, October 2002, pp. 2285-2290.
IEEE Top Reference. 0301
BibRef

Krumm, J.C.[John C.],
Relative range camera calibration,
US_Patent6,789,039, Sep 7, 2004
WWW Link. BibRef 0409
And: US_Patent7,003,427, Feb 21, 2006
WWW Link. BibRef

Latypov, D.[Damir],
Effects of laser beam alignment tolerance on lidar accuracy,
PandRS(59), No. 6, November 2005, pp. 361-368.
Elsevier DOI 0602
tolerance of beam alignment with mirror. BibRef

Latypov, D.[Damir],
Estimating relative lidar accuracy information from overlapping flight lines,
PandRS(56), No. 4, July 2002, pp. 236-245.
Elsevier DOI 0207
BibRef

Filin, S.[Sagi],
Recovery of Systematic Biases in Laser Altimetry Data Using Natural Surfaces,
PhEngRS(69), No. 11, November 2003, pp. 1235-1242.
WWW Link. 0401
See also Orthogonal Polynomials Supported by Regional Growing Segmentation for the Extraction of Terrain from Lidar Data. BibRef
Earlier:
Surface Clustering from Airborne Laser Scanning Data,
PCV02(A: 119). 0305
An error recovery model that is based on modeling the system errors and on defining adequate control information. BibRef

Filin, S.[Sagi],
Calibration of Spaceborne Laser Altimeters: An Algorithm and the Site Selection Problem,
GeoRS(44), No. 6, June 2006, pp. 1484-1492.
IEEE DOI 0606
BibRef

Hodgson, M.E.[Michael E.], Bresnahan, P.[Patrick],
Accuracy of Airborne Lidar-Derived Elevation: Empirical Assessment and Error Budget,
PhEngRS(70), No. 3, March 2004, pp. 331-340.
WWW Link. 0403
In order of decreasing importance, the lidar system measurements were the dominant source of error, followed by interpolation error, horizontal displacement error, and surveyor error. BibRef

Pierdicca, N., Greco, B., Bignami, C., Ferrazzoli, P., Mattioli, V., Pulvirenti, L.,
The Calibration of the Envisat Radar Altimeter Receiver by a Passive Technique,
GeoRS(44), No. 11, November 2006, pp. 3297-3307.
IEEE DOI 0611
BibRef

Gunderson, K., Thomas, N., Rohner, M.,
A Laser Altimeter Performance Model and Its Application to BELA,
GeoRS(44), No. 11, November 2006, pp. 3308-3319.
IEEE DOI 0611
BibRef

Brenner, A.C., DiMarzio, J.P., Zwally, H.J.,
Precision and Accuracy of Satellite Radar and Laser Altimeter Data Over the Continental Ice Sheets,
GeoRS(45), No. 2, February 2007, pp. 321-331.
IEEE DOI 0703
BibRef

Raber, G.T.[George T.], Jensen, J.R.[John R.], Hodgson, M.E.[Michael E.], Tullis, J.A.[Jason A.], Davis, B.A.[Bruce A.], Berglund, J.[Judith],
Impact of Lidar Nominal Post-spacing on DEM Accuracy and Flood Zone Delineation,
PhEngRS(73), No. 7, July 2007, pp. 793-804.
WWW Link. 0709
The empirical relationship between lidar post-spacing and flood zone delineation was examined within a floodplain of the North Carolina piedmont. BibRef

Csanyi, N.[Nora], Toth, C.K.[Charles K.],
Improvement of Lidar Data Accuracy Using Lidar-Specific Ground Targets,
PhEngRS(73), No. 4, April 2007, pp. 385-396.
WWW Link. 0704
A study on lidar-specific ground control target design and performance evaluation of using the targets to improve lidar data accuracy to approach engineering scale mapping in transportation systems. BibRef

Toth, C.K., Paska, E., Grejner-Brzezinska, D.A.,
Using Road Pavement Markings as Ground Control for LIDAR Data,
ISPRS08(B1: 189 ff).
PDF File. 0807
BibRef
Earlier:
Using Pavement Markings to Support the QA/QC of LIDAR Data,
PIA07(173).
PDF File. 0711
BibRef

Toth, C.K., Grejner-Brzezinska, D.A.,
Surface Complexity Component of LIDAR Point Cloud Error Characterization,
AnnalsPRS(I-4), No. 2012, pp. 137-140.
HTML Version. 1209
BibRef
And: ISPRS12(XXXIX-B1:67-70).
DOI Link 1209
BibRef

Hofle, B.[Bernhard], Pfeifer, N.[Norbert],
Correction of laser scanning intensity data: Data and model-driven approaches,
PandRS(62), No. 6, December 2007, pp. 415-433.
Elsevier DOI 0711
Laser scanning; Signal intensity; Reflectance; Correction BibRef

Barber, D.M.[David M.], Mills, J.P.[Jon P.], Smith-Voysey, S.[Sarah],
Geometric validation of a ground-based mobile laser scanning system,
PandRS(63), No. 1, January 2008, pp. 128-141.
Elsevier DOI 0711
Accuracy analysis; Terrestrial laser scanning; Mobile mapping; Validation BibRef

Robini, M.C., Lachal, A., Magnin, I.E.,
A Stochastic Continuation Approach to Piecewise Constant Reconstruction,
IP(16), No. 10, October 2007, pp. 2576-2589.
IEEE DOI 0711
BibRef

Li, X.[Xi], Ning, Z.N.[Zheng-Nan], Xiang, L.W.[Liu-Wei],
Robust 3D Reconstruction with Outliers Using RANSAC Based Singular Value Decomposition,
IEICE(E88-D), No. 8, August 2005, pp. 2001-2004.
DOI Link 0508
See also Robust Multi-Body Motion Segmentation Based on Fuzzy k-Subspace Clustering. BibRef

Gheissari, N.[Niloofar], Bab-Hadiashar, A.[Alireza],
A comparative study of model selection criteria for computer vision applications,
IVC(26), No. 12, 1 December 2008, pp. 1636-1649.
Elsevier DOI 0810
BibRef
Earlier:
Detecting cylinders in 3D range data using model selection criteria,
3DIM05(158-163).
IEEE DOI 0508
BibRef
Earlier:
Effect of noise on model selection criteria in visual applications,
ICPR04(II: 229-232).
IEEE DOI 0409
BibRef
And:
The model selection criteria as merging criteria,
ICPR04(II: 253-256).
IEEE DOI 0409
BibRef
Earlier: A2, A1:
Model Selection for Range Segmentation of Curved Objects,
ECCV04(Vol I: 83-94).
Springer DOI 0405
See also Motion analysis: Model selection and motion segmentation. Model selection; Model-based computer vision; Motion segmentation; Range segmentation BibRef

Habib, A.F.[Ayman F.], Bang, K.I.[Ki In], Kersting, A.P.[Ana Paula], Lee, D.C.[Dong-Cheon],
Error Budget of Lidar Systems and Quality Control of the Derived Data,
PhEngRS(75), No. 9, September 2009, pp. 1093-1108.
WWW Link. 0910
A new methodology for the quality control of lidar data while circumventing the problems associated with existing methods. BibRef

Habib, A.F.[Ayman F.], Kersting, A.P.[Ana Paula], Bang, K.I.[Ki In], Lee, D.C.[Dong-Cheon],
Alternative Methodologies for the Internal Quality Control of Parallel LiDAR Strips,
GeoRS(48), No. 1, January 2010, pp. 221-236.
IEEE DOI 1001
BibRef

Habib, A.F.[Ayman F.], Chang, Y.C.[Yu-Chuan], Lee, D.C.[Dong Cheon],
Occlusion-based Methodology for the Classification of Lidar Data,
PhEngRS(75), No. 6, June 2009, pp. 703-712.
WWW Link. 0910
A new methodology for the classifi cation of a lidar point cloud into terrain and off-terrain points. BibRef

Habib, A.F.[Ayman F.], Bang, K.I.[Ki In], Kersting, A.P.[Ana Paula], Chow, J.,
Alternative Methodologies for LiDAR System Calibration,
RS(2), No. 3, March 2010, pp. 874-907.
DOI Link 1203
BibRef

Habib, A.F., Al-Durgham, M., Kersting, A.P., Quackenbush, P.,
Error Budget of LIDAR Systems and Quality Control of the Derived Point Cloud,
ISPRS08(B1: 203 ff).
PDF File. 0807
BibRef

Parian, J.A.[Jafar Amiri], Gruen, A.[Armin],
Sensor modeling, self-calibration and accuracy testing of panoramic cameras and laser scanners,
PandRS(65), No. 1, January 2010, pp. 60-76.
Elsevier DOI 1001
BibRef
Earlier:
Integrated laser scanner and intensity image calibration and accuracy assessment,
Laser05(xx-yy).
PDF File. 0509
Terrestrial photogrammetry; Sensor modeling; Calibration; Accuracy test BibRef

Aguilar, F.J.[Fernando J.], Mills, J.P.[Jon P.], Delgado, J.[Jorge], Aguilar, M.A.[Manuel A.], Negreiros, J.G., Perez, J.L.[Jose L.],
Modelling vertical error in LiDAR-derived digital elevation models,
PandRS(65), No. 1, January 2010, pp. 103-110.
Elsevier DOI 1001
LiDAR; Vertical accuracy assessment; Spatial modelling; Topographic mapping BibRef

Triglav-Cekada, M.[Mihaela], Crosilla, F.[Fabio], Kosmatin-Fras, M.[Mojca],
A Simplified Analytical Model for a-priori Lidar Pointpositioning Error Estimation and a Review of Lidar Error Sources,
PhEngRS(75), No. 12, December 2009, pp. 1425-1440.
WWW Link. 1001
A simplified analytical model for a-priori lidar pointpositioning error estimation enables a quick calculation of a-priori plausible values of the average and maximum expected error sizes in different geometrical configurations. BibRef

Yang, Y., Marshak, A., Varnai, T., Wiscombe, W., Yang, P.,
Uncertainties in Ice-Sheet Altimetry From a Spaceborne 1064-nm Single-Channel Lidar Due to Undetected Thin Clouds,
GeoRS(48), No. 1, January 2010, pp. 250-259.
IEEE DOI 1001
BibRef

Hodge, R.A.[Rebecca A.],
Using simulated Terrestrial Laser Scanning to analyse errors in high-resolution scan data of irregular surfaces,
PandRS(65), No. 2, March 2010, pp. 227-240.
Elsevier DOI 1003
Laser scanning; Error; Model; Geomorphology BibRef

Marchant, C.C., Moon, T.K., Gunther, J.H.,
An Iterative Least Square Approach to Elastic-Lidar Retrievals for Well-Characterized Aerosols,
GeoRS(48), No. 5, May 2010, pp. 2430-2444.
IEEE DOI 1006
BibRef

Dery, B., Buteau, S., Simard, J.R., Bouchard, J.P., Vallee, R.,
Spectroscopic Calibration Correlation of Field and Lab-Sized Fluorescence LIDAR Systems,
GeoRS(48), No. 9, September 2010, pp. 3580-3586.
IEEE DOI 1008
BibRef

Alexander, C.[Cici], Tansey, K.[Kevin], Kaduk, J.[Jorg], Holland, D.[David], Tate, N.J.[Nicholas J.],
Backscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas,
PandRS(65), No. 5, September 2010, pp. 423-432.
Elsevier DOI 1003
LIDAR; Laser scanning; Calibration; Point cloud; Classification; Comparison BibRef

Reshetyuk, Y.[Yuriy],
A unified approach to self-calibration of terrestrial laser scanners,
PandRS(65), No. 5, September 2010, pp. 445-456.
Elsevier DOI 1003
Terrestrial laser scanning; Calibration; Correlation BibRef

Lindner, M.[Marvin], Schiller, I.[Ingo], Kolb, A.[Andreas], Koch, R.[Reinhard],
Time-of-Flight sensor calibration for accurate range sensing,
CVIU(114), No. 12, December 2010, pp. 1318-1328.
Elsevier DOI 1011
Calibration; Time-of-Flight; Photonic Mixer Device BibRef

Lindner, M.[Marvin], Kolb, A.[Andreas], Ringbeck, T.[Thorsten],
New insights into the calibration of ToF-sensors,
TOF-CV08(1-5).
IEEE DOI 0806
BibRef

Peeri, S., Gardner, J.V., Ward, L.G., Morrison, J.R.,
The Seafloor: A Key Factor in Lidar Bottom Detection,
GeoRS(49), No. 3, March 2011, pp. 1150-1157.
IEEE DOI 1103
BibRef

Soudarissanane, S.[Sylvie], Lindenbergh, R.[Roderik], Menenti, M.[Massimo], Teunissen, P.[Peter],
Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points,
PandRS(66), No. 4, July 2011, pp. 389-399.
Elsevier DOI 1107
BibRef
Earlier:
Incidence angle influence on the quality of Terrestrial Laser Scanning points,
Laser09(183). 0909
Incidence angle; Range; Scanning geometry; Individual point quality; Measurement setup BibRef

Soudarissanane, S.[Sylvie], Lindenbergh, R.[Roderik],
Optimizing Terrestrial Laser Scanning Measurement Set-Up,
Laser11(xx-yy).
DOI Link 1109
BibRef

Hejbudzka, K., Lindenbergh, R., Soudarissanane, S., Humme, A.,
Influence Of Atmospheric Conditions On The Range Distance And Number Of Returned Points In Leica Scanstation 2 Point Clouds.,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Soudarissanane, S.[Sylvie], Lindenbergh, R.[Roderik], Gorte, B.[Ben],
Reducing the Error in Terrestrial Laser Scanning by Optimizing the Measurement Set-Up,
ISPRS08(B5: 615 ff).
PDF File. 0807
BibRef

Falie, D.,
Three-dimensional image corrections for time-of-flight cameras,
IET-IPR(5), No. 5, 2011, pp. 523-529.
DOI Link 1108
BibRef

Leslar, M.[Michael], Wang, J.G.[Jian-Guo], Hu, B.X.[Bao-Xin],
Comprehensive Utilization of Temporal and Spatial Domain Outlier Detection Methods for Mobile Terrestrial LiDAR Data,
RS(3), No. 8, August 2011, pp. 1724-1742.
DOI Link 1203
BibRef
Earlier:
Methods for the identification and removal of outliers from mobile terrestrial LiDAR data,
CGC10(78).
PDF File. 1006
BibRef

Pesci, A., Teza, G., Bonali, E.,
Terrestrial Laser Scanner Resolution: Numerical Simulations and Experiments on Spatial Sampling Optimization,
RS(3), No. 1, January 2011, pp. 167-184.
DOI Link 1203
BibRef

Perenzoni, M., Stoppa, D.,
Figures of Merit for Indirect Time-of-Flight 3D Cameras: Definition and Experimental Evaluation,
RS(3), No. 11, November 2011, pp. 2461-2472.
DOI Link 1203
BibRef

Wu, D.[Di], Velten, A.[Andreas], O'Toole, M.[Matthew], Masia, B.[Belen], Agrawal, A.[Amit], Dai, Q.H.[Qiong-Hai], Raskar, R.[Ramesh],
Decomposing Global Light Transport Using Time of Flight Imaging,
IJCV(107), No. 2, April 2014, pp. 123-138.
Springer DOI 1404
BibRef
Earlier: A1, A3, A2, A5, A7, Only: CVPR12(366-373).
IEEE DOI 1208
BibRef

Vasconcelos, F.[Francisco], Barreto, J.P.[João P.], Nunes, U.[Urbano],
A Minimal Solution for the Extrinsic Calibration of a Camera and a Laser-Rangefinder,
PAMI(34), No. 11, November 2012, pp. 2097-2107.
IEEE DOI 1209
freely move a checkerborad pattern to obtain planar poses and laser depths. Then rigid displacement between the two. BibRef

Raposo, C., Barreto, J.P.[João P.], Nunes, U.[Urbano],
Fast and Accurate Calibration of a Kinect Sensor,
3DV13(342-349)
IEEE DOI 1311
calibration BibRef

Skaloud, J.[Jan], Schaer, P.[Philipp],
Automated Assessment of Digital Terrain Models Derived From Airborne Laser Scanning,
PFG(2012), No. 2, 2012, pp. 105-114.
WWW Link. 1211
BibRef

Schaer, P.[Philipp], Skaloud, J.[Jan], Tomè, P.,
Towards In-Flight Quality Assessment of Airborne Laser Scanning,
ISPRS08(B5: 851 ff).
PDF File. 0807
BibRef

Schaer, P.[Philipp], Vallet, J.,
Trajectory Adjustment of Mobile Laser Scan Data in GPS Denied Environments,
EuroCOW16(xx-yy).
DOI Link 1605
BibRef

Shim, H.J.[Hyun-Jung], Adelsberger, R.[Rolf], Kim, J.D.K.[James Do-Kyoon], Rhee, S.M.[Seon-Min], Rhee, T.[Taehyun], Sim, J.Y.[Jae-Young], Gross, M.[Markus], Kim, C.Y.[Chang-Yeong],
Time-of-flight sensor and color camera calibration for multi-view acquisition,
VC(27), No. 12, December 2011, pp. 1139-1151.
WWW Link. 1211
BibRef

Molnár, G.P.[Gábor Pfeifer], Ressl, C.[Camillo], Dorninger, P.[Peter], Nothegger, C.[Clemens],
On-the-job Range Calibration of Terrestrial Laser Scanners with Piecewise Linear Functions,
PFG(2009), No. 1, 2009, pp. 9-21.
WWW Link. 1211
BibRef

Ding, Q.[Qiong], Chen, W.[Wu], King, B.[Bruce], Liu, Y.X.[Yan-Xiong], Liu, G.X.[Guo-Xiang],
Combination of overlap-driven adjustment and Phong model for LiDAR intensity correction,
PandRS(75), No. 1, January 2013, pp. 40-47.
Elsevier DOI 1301
Airborne laser scanning; Intensity; Least squares; Overlapping strips; Reflection BibRef

MacKinnon, D.[David], Carrierr, B.[Benjamin], Beraldin, J.A.[Jean-Angelo], Cournoyer, L.[Luc],
GD&T-Based Characterization of Short-Range Non-contact 3D Imaging Systems,
IJCV(102), No. 1-3, March 2013, pp. 56-72.
Springer DOI 1303
Test metrics to characterize and verify short range 3d imaging BibRef

García-San-Miguel, D., Lerma, J.L.,
Geometric calibration of a terrestrial laser scanner with local additional parameters: An automatic strategy,
PandRS(79), No. 1, May 2013, pp. 122-136.
Elsevier DOI 1305
Calibration; Automation; Adjustment; Laser scanning; Parameters; Geometric BibRef

Westfeld, P.[Patrick], Maas, H.G.[Hans-Gerd],
Integrated 3D Range Camera Self-Calibration,
PFG(2013), No. 6, 2013, pp. 589-602.
DOI Link 1312
BibRef

Dan, J., Yang, X., Shi, Y., Guo, Y.,
Random Error Modeling and Analysis of Airborne Lidar Systems,
GeoRS(52), No. 7, July 2014, pp. 3885-3894.
IEEE DOI 1403
Atmospheric modeling BibRef

Chen, C.Y.[Chia-Yen], Chien, H.J.[Hsiang-Jen],
Geometric calibration of a multi-layer LiDAR system and image sensors using plane-based implicit laser parameters for textured 3-D depth reconstruction,
JVCIR(25), No. 4, 2014, pp. 659-669.
Elsevier DOI 1403
Sensor calibration BibRef

Hansard, M.[Miles], Horaud, R.[Radu], Amat, M.[Michel], Evangelidis, G.D.[Georgios D.],
Automatic detection of calibration grids in time-of-flight images,
CVIU(121), No. 1, 2014, pp. 108-118.
Elsevier DOI 1404
Range imaging BibRef

Lee, S.K.[Seung-Kyu],
Time-of-Flight Depth Camera Motion Blur Detection and Deblurring,
SPLetters(21), No. 6, June 2014, pp. 663-666.
IEEE DOI 1404
BibRef
Earlier:
Depth camera image processing and applications,
ICIP12(545-548).
IEEE DOI 1302
geometry. introduce various systematic and non-systematic depth errors and state of the art enhancement methods BibRef

Belhedi, A.[Amira],
Noise modeling and depth calibration for Time-Of-Flight cameras,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Abed, F.M.[Fanar M.], Mills, J.P.[Jon P.], Miller, P.E.[Pauline E.],
Calibrated Full-Waveform Airborne Laser Scanning for 3D Object Segmentation,
RS(6), No. 5, 2014, pp. 4109-4132.
DOI Link 1407
BibRef

Song, X.B.[Xi-Bin], Zhong, F.[Fan], Wang, Y.K.[Yan-Ke], Qin, X.Y.[Xue-Ying],
Estimation of Kinect depth confidence through self-training,
VC(30), No. 6-8, June 2014, pp. 855-865.
WWW Link. 1407
BibRef

Zhao, Z.Y.[Zi-Yue], Zhu, J.G.[Ji-Gui], Xue, B.[Bin], Yang, L.H.[Ling-Hui],
Optimization for calibration of large-scale optical measurement positioning system by using spherical constraint,
JOSA-A(31), No. 7, July 2014, pp. 1427-1435.
DOI Link 1407
Instrumentation, measurement, and metrology BibRef

Zhang, J., Kerekes, J.P.,
First-Principle Simulation of Spaceborne Micropulse Photon-Counting Lidar Performance on Complex Surfaces,
GeoRS(52), No. 10, October 2014, pp. 6488-6496.
IEEE DOI 1407
Detectors BibRef

Fan, L.[Lei], Powrie, W.[William], Smethurst, J.[Joel], Atkinson, P.M.[Peter M.], Einstein, H.[Herbert],
The effect of short ground vegetation on terrestrial laser scans at a local scale,
PandRS(95), No. 1, 2014, pp. 42-52.
Elsevier DOI 1408
Terrestrial laser scanning (TLS) BibRef

Fan, L.[Lei], Atkinson, P.M.[Peter M.],
An Iterative Coarse-to-Fine Sub-Sampling Method for Density Reduction of Terrain Point Clouds,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cahalane, C.[Conor], McElhinney, C.P.[Conor P.], Lewis, P.[Paul], McCarthy, T.[Timothy],
MIMIC: An Innovative Methodology for Determining Mobile Laser Scanning System Point Density,
RS(6), No. 9, 2014, pp. 7857-7877.
DOI Link 1410
BibRef

Cahalane, C.[Conor], Lewis, P.[Paul], McElhinney, C.P.[Conor P.], McCarthy, T.[Timothy],
Optimising Mobile Mapping System Laser Scanner Orientation,
IJGI(4), No. 1, 2015, pp. 302-319.
DOI Link 1504
BibRef

Pal, S.[Sandip],
Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap,
RS(6), No. 9, 2014, pp. 8468-8493.
DOI Link 1410
BibRef

Fang, W.[Wei], Huang, X.F.[Xian-Feng], Zhang, F.[Fan], Li, D.R.[De-Ren],
Intensity Correction of Terrestrial Laser Scanning Data by Estimating Laser Transmission Function,
GeoRS(53), No. 2, February 2015, pp. 942-951.
IEEE DOI 1411
data acquisition BibRef

Sun, X.[Xiaoli], Neumann, G.A.,
Calibration of the Mercury Laser Altimeter on the MESSENGER Spacecraft,
GeoRS(53), No. 5, May 2015, pp. 2860-2874.
IEEE DOI 1502
airborne radar BibRef

Uebbing, B., Kusche, J., Forootan, E.,
Waveform Retracking for Improving Level Estimations From TOPEX/Poseidon, Jason-1, and Jason-2 Altimetry Observations Over African Lakes,
GeoRS(53), No. 4, April 2015, pp. 2211-2224.
IEEE DOI 1502
geophysical signal processing BibRef

Bakula, K.[Krzysztof], Dominik, W.[Wojciech], Ostrowski, W.[Wojciech],
Enhancement of Lidar Planimetric Accuracy using Orthoimages,
PFG(2015), No. 2, 2015, pp. 143-155.
DOI Link 1506
BibRef
Earlier:
Verification and Improving Planimetric Accuracy of Airborne Laser Scanning Data with Using Photogrammetric Data,
EuroCOW14(21-26).
DOI Link 1404
BibRef

Penne, R.[Rudi], Ribbens, B.[Bart], Mertens, L.[Luc],
An Incremental Procedure for the Lateral Calibration of a Time-of-Flight Camera by One Image of a Flat Surface,
IJCV(113), No. 2, June 2015, pp. 81-91.
Springer DOI 1506
BibRef

Staranowicz, A.N.[Aaron N.], Brown, G.R.[Garrett R.], Morbidi, F.[Fabio], Mariottini, G.L.[Gian-Luca],
Practical and accurate calibration of RGB-D cameras using spheres,
CVIU(137), No. 0, 2015, pp. 102-114.
Elsevier DOI 1506
BibRef
Earlier:
Easy-to-Use and Accurate Calibration of RGB-D Cameras from Spheres,
PSIVT13(265-278).
Springer DOI 1402
RGB-D cameras BibRef

Jung, J., Lee, J., Jeong, Y., Kweon, I.S.,
Time-of-Flight Sensor Calibration for a Color and Depth Camera Pair,
PAMI(37), No. 7, July 2015, pp. 1501-1513.
IEEE DOI 1506
Calibration BibRef

Mao, Q.Z.[Qing-Zhou], Zhang, L.[Liang], Li, Q.Q.[Qing-Quan], Hu, Q.W.[Qing-Wu], Yu, J.W.[Jian-Wei], Feng, S.J.[Shao-Jun], Ochieng, W.[Washington], Gong, H.[Hanlu],
A Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems,
RS(7), No. 6, 2015, pp. 7402.
DOI Link 1507
BibRef

Lauterbach, H.A.[Helge A.], Borrmann, D.[Dorit], Heß, R.[Robin], Eck, D.[Daniel], Schilling, K.[Klaus], Nüchter, A.[Andreas],
Evaluation of a Backpack-Mounted 3D Mobile Scanning System,
RS(7), No. 10, 2015, pp. 13753.
DOI Link 1511
BibRef

Lachat, E.[Elise], Macher, H.[Hélène], Landes, T.[Tania], Grussenmeyer, P.[Pierre],
Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling,
RS(7), No. 10, 2015, pp. 13070.
DOI Link 1511
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Kromer, R.A.[Ryan A.], Abellán, A.[Antonio], Hutchinson, D.J.[D. Jean], Lato, M.[Matt], Edwards, T.[Tom], Jaboyedoff, M.[Michel],
A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner,
RS(7), No. 10, 2015, pp. 13029.
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Accuracy of Laser Scanners for Measuring Surfaces made of Synthetic Materials,
PFG(2015), No. 5, 2015, pp. 357-372.
DOI Link 1512
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Penne, R.[Rudi], Raposo, C.[Carolina], Mertens, L.[Luc], Ribbens, B.[Bart], Araújo, H.[Helder],
Investigating new calibration methods without feature detection for TOF cameras,
IVC(43), No. 1, 2015, pp. 50-62.
Elsevier DOI 1512
Range cameras BibRef

Hui, Z.Y.[Zhen-Yang], Hu, Y.J.[You-Jian], Yevenyo, Y.Z.[Yao Ziggah], Yu, X.Y.[Xian-Yu],
An Improved Morphological Algorithm for Filtering Airborne LiDAR Point Cloud Based on Multi-Level Kriging Interpolation,
RS(8), No. 1, 2016, pp. 35.
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Tan, K.[Kai], Cheng, X.J.[Xiao-Jun],
Correction of Incidence Angle and Distance Effects on TLS Intensity Data Based on Reference Targets,
RS(8), No. 3, 2016, pp. 251.
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Tan, K.[Kai], Cheng, X.J.[Xiao-Jun],
Specular Reflection Effects Elimination in Terrestrial Laser Scanning Intensity Data Using Phong Model,
RS(9), No. 8, 2017, pp. xx-yy.
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Wu, J.[Jun], Yu, Z.J.[Zhi-Jing], Zhuge, J.C.[Jing-Chang],
Self-calibration method for rotating laser positioning system using interscanning technology and ultrasonic ranging,
JOSA-A(33), No. 4, April 2016, pp. 544-550.
DOI Link 1604
Instrumentation, measurement, and metrology BibRef

Zhang, W.[Wuming], Qi, J.B.[Jian-Bo], Wan, P.[Peng], Wang, H.T.[Hong-Tao], Xie, D.H.[Dong-Hui], Wang, X.Y.[Xiao-Yan], Yan, G.[Guangjian],
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation,
RS(8), No. 6, 2016, pp. 501.
DOI Link 1608
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Pauscher, L.[Lukas], Vasiljevic, N.[Nikola], Callies, D.[Doron], Lea, G.[Guillaume], Mann, J.[Jakob], Klaas, T.[Tobias], Hieronimus, J.[Julian], Gottschall, J.[Julia], Schwesig, A.[Annedore], Kühn, M.[Martin], Courtney, M.[Michael],
An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain,
RS(8), No. 9, 2016, pp. 782.
DOI Link 1610
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DOI Link 1708
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Fernandez-Diaz, J.C.[Juan Carlos], Carter, W.E.[William E.], Glennie, C.L.[Craig L.], Shrestha, R.L.[Ramesh L.], Pan, Z.G.[Zhi-Gang], Ekhtari, N.[Nima], Singhania, A.[Abhinav], Hauser, D.[Darren], Sartori, M.[Michael],
Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar,
RS(8), No. 11, 2016, pp. 936.
DOI Link 1612
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Amediek, A.[Axel], Wirth, M.[Martin],
Pointing Verification Method for Spaceborne Lidars,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Jamalabdollahi, M., Zekavat, S.,
ToA Ranging and Layer Thickness Computation in Nonhomogeneous Media,
GeoRS(55), No. 2, February 2017, pp. 742-752.
IEEE DOI 1702
frequency-domain analysis BibRef

Calders, K., Disney, M.I., Armston, J., Burt, A., Brede, B., Origo, N., Muir, J., Nightingale, J.,
Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability,
GeoRS(55), No. 5, May 2017, pp. 2716-2724.
IEEE DOI 1705
calibration, radiometry, remote sensing by laser beam, vegetation, 3D vegetation structure measurement, RIEGL VZ-400, TLS data, TLS instrument, airborne sensor, data interoperability, multiple terrestrial laser scanning instrument, radiometric calibration, reflectance panel, satellite sensor, Australia, Calibration, Earth, Instruments, Interoperability, Measurement by laser beam, Radiometry, Data interoperability, RIEGL VZ-400, radiometric calibration, terrestrial, light, detection, and, ranging, (LiDAR) BibRef

Streeter, L.[Lee],
Stochastic calculus analysis of optical time-of-flight range imaging and estimation of radial motion,
JOSA-A(34), No. 7, July 2017, pp. 1063-1072.
DOI Link 1708
Three-dimensional image acquisition, Lidar, Velocimetry BibRef

Wang, W.M.[Wei-Min], Sakurada, K.[Ken], Kawaguchi, N.[Nobuo],
Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Lv, B.B.[Bin-Bin], Li, L.[Liang], Yan, C.G.[Cheng-Gang],
Three-dimensional laser scanning under the pinhole camera with lens distortion,
MVA(28), No. 7, October 2017, pp. 737-742.
WWW Link. 1710
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Drouin, M.A.[Marc-Antoine], Blais, F.[François], Picard, M.[Michel], Boisvert, J.[Jonathan], Beraldin, J.A.[Jean-Angelo],
Characterizing the impact of optically induced blurring of a high-resolution phase-shift 3D scanner,
MVA(28), No. 8, November 2017, pp. 903-915.
Springer DOI 1710
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Xu, T.[Teng], Xu, L.J.[Li-Jun], Yang, B.[Bingwei], Li, X.[Xiaolu], Yao, J.[Junen],
Terrestrial Laser Scanning Intensity Correction by Piecewise Fitting and Overlap-Driven Adjustment,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Costa, F.A.L.[Felipe A. L.], Mitishita, E.A.[Edson A.], Martins, M.[Marlo],
The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Boutteau, R.[Rémi], Sturm, P.[Peter], Vasseur, P.[Pascal], Demonceaux, C.[Cédric],
Circular Laser/Camera-Based Attitude and Altitude Estimation: Minimal and Robust Solutions,
JMIV(60), No. 3, March 2018, pp. 382-400.
Springer DOI 1804
BibRef

Georgiev, M., Bregovic, R., Gotchev, A.,
Time-of-Flight Range Measurement in Low-Sensing Environment: Noise Analysis and Complex-Domain Non-Local Denoising,
IP(27), No. 6, June 2018, pp. 2911-2926.
IEEE DOI 1804
Delays, Filtering, Harmonic analysis, Noise measurement, Noise reduction, Phase measurement, Sensors, 3D, denoising, time-of-flight (ToF) BibRef

Magruder, L.A., Brunt, K.M.,
Performance Analysis of Airborne Photon- Counting Lidar Data in Preparation for the ICESat-2 Mission,
GeoRS(56), No. 5, May 2018, pp. 2911-2918.
IEEE DOI 1805
Instruments, Laser beams, Laser radar, Measurement by laser beam, Photonics, Sea measurements, Altimetry, photon-counting lidar BibRef

Ortiz, L.E.[Luis Enrique], Cabrera, V.E.[Viviana Elizabeth], Goncalves, L.M.G.[Luiz M. G.],
Depth Data Error Modeling of the ZED 3D Vision Sensor from Stereolabs,
ELCVIA(17), No. 1, 2018, pp. 1-15.
DOI Link 1806
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Chalus, M.[Michal], Liska, J.[Jindrich],
Calibration and using a laser profile scanner for 3D robotic welding,
IJCVR(8), No. 4, 2018, pp. 351-374.
DOI Link 1808
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Bretagne, E.[Estelle], Dassonvalle, P.[Pascal], Caron, G.[Guillaume],
Spherical target-based calibration of terrestrial laser scanner intensity. Application to colour information computation,
PandRS(144), 2018, pp. 14-27.
Elsevier DOI 1809
Terrestrial laser scanning, Intensity, Incidence angle, Range, sRGB BibRef

Chen, S.B.[Shou-Bin], Liu, J.B.[Jing-Bin], Wu, T.[Teng], Huang, W.C.[Wen-Chao], Liu, K.[Keke], Yin, D.Y.[De-Yu], Liang, X.L.[Xin-Lian], Hyyppä, J.[Juha], Chen, R.Z.[Rui-Zhi],
Extrinsic Calibration of 2D Laser Rangefinders Based on a Mobile Sphere,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Ravi, R.[Radhika], Lin, Y.J.[Yun-Jou], Elbahnasawy, M.[Magdy], Shamseldin, T.[Tamer], Habib, A.[Ayman],
Bias Impact Analysis and Calibration of Terrestrial Mobile LiDAR System With Several Spinning Multibeam Laser Scanners,
GeoRS(56), No. 9, September 2018, pp. 5261-5275.
IEEE DOI 1809
LIDAE Calibration. Calibration, Laser radar, Laser beams, Lasers, Sensors, Spinning, Bias impact analysis, calibration, light detection and ranging (LiDAR) system BibRef

Zámecníková, M.[Miriam], Neuner, H.[Hans],
Methods for quantification of systematic distance deviations under incidence angle with scanning total stations,
PandRS(144), 2018, pp. 268-284.
Elsevier DOI 1809
Close range scanning. Systematic distance deviations, Reflectorless distance measurement, Incidence angle, Scanning total station BibRef

Hofsäß, M.[Martin], Clifton, A.[Andrew], Cheng, P.W.[Po Wen],
Reducing the Uncertainty of Lidar Measurements in Complex Terrain Using a Linear Model Approach,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Paynter, I., Genest, D., Saenz, E., Peri, F., Li, Z., Strahler, A., Schaaf, C.,
Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories,
GeoRS(56), No. 11, November 2018, pp. 6324-6333.
IEEE DOI 1811
Vegetation, Forestry, Laser radar, Ecosystems, Trajectory, Uncertainty, Instruments, Forestry, laser beams, laser measurements BibRef

Adams Seewald, L.[Lucas], Facco Rodrigues, V.[Vinicius], Ollenschläger, M.[Malte], Antunes, R.S.[Rodolfo Stoffel], da Costa, C.A.[Cristiano André], da Rosa Righi, R.[Rodrigo], Gonzaga da Silveira, L.[Luiz], Maier, A.[Andreas], Eskofier, B.[Björn], Fahrig, R.[Rebecca],
Toward analyzing mutual interference on infrared-enabled depth cameras,
CVIU(178), 2019, pp. 1-15.
Elsevier DOI 1812
Depth camera, Multi-camera, Interference, Evaluation, Computer vision BibRef

Crespo-Peremarch, P.[Pablo], Ruiz, L.Á.[Luis Ángel], Balaguer-Beser, Á.[Ángel], Estornell, J.[Javier],
Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics,
PandRS(146), 2018, pp. 453-464.
Elsevier DOI 1812
Airborne laser scanning, Voxelization, Voxel size, Assignation value, Side-lap effect BibRef

Oniga, V.E.[Valeria-Ersilia], Pfeifer, N.[Norbert], Loghin, A.M.[Ana-Maria],
3D Calibration Test-Field for Digital Cameras Mounted on Unmanned Aerial Systems (UAS),
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Chen, P.[Peng], Pan, D.[Delu], Mao, Z.[Zhihua], Liu, H.[Hang],
A Feasible Calibration Method for Type 1 Open Ocean Water LiDAR Data Based on Bio-Optical Models,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
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Li, Z.[Zhen], Tan, J.[Junxiang], Liu, H.[Hua],
Rigorous Boresight Self-Calibration of Mobile and UAV LiDAR Scanning Systems by Strip Adjustment,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
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Li, Q.H.[Qing-Hua], Ma, Y.[Yuchi], Anderson, J.[John], Curry, J.[James], Shan, J.[Jie],
Towards Uniform Point Density: Evaluation of an Adaptive Terrestrial Laser Scanner,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
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Janßen, J.[Jannik], Medic, T.[Tomislav], Kuhlmann, H.[Heiner], Holst, C.[Christoph],
Decreasing the Uncertainty of the Target Center Estimation at Terrestrial Laser Scanning by Choosing the Best Algorithm and by Improving the Target Design,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
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Sevara, C.[Christopher], Wieser, M.[Martin], Doneus, M.[Michael], Pfeifer, N.[Norbert],
Relative Radiometric Calibration of Airborne LiDAR Data for Archaeological Applications,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
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Keyetieu, R.[Rabine], Seube, N.[Nicolas],
Automatic Data Selection and Boresight Adjustment of LiDAR Systems,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
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Cai, S.S.[Shang-Shu], Zhang, W.M.[Wu-Ming], Liang, X.L.[Xin-Lian], Wan, P.[Peng], Qi, J.B.[Jian-Bo], Yu, S.[Sisi], Yan, G.J.[Guang-Jian], Shao, J.[Jie],
Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
Separating point clouds into ground and non-ground points. BibRef

Medic, T.[Tomislav], Kuhlmann, H.[Heiner], Holst, C.[Christoph],
Sensitivity Analysis and Minimal Measurement Geometry for the Target-Based Calibration of High-End Panoramic Terrestrial Laser Scanners,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
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Lichti, D.D., Glennie, C.L., Al-Durgham, K., Jahraus, A., Steward, J.,
Explanation for the seam line discontinuity in terrestrial laser scanner point clouds,
PandRS(154), 2019, pp. 59-69.
Elsevier DOI 1907
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Man, D.[Duhu], Jones, M.W.[Mark W.], Li, D.R.[Dan-Rong], Zhang, H.L.[Hong-Long], Song, Z.[Zhan],
Calibration of Turntable Based 3D Scanning Systems,
IEICE(E102-D), No. 9, September 2019, pp. 1833-1841.
WWW Link. 1909
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Zhang, F.H.[Fang-Hua], Zhang, K.Y.[Kai-Yu], Cao, J.[Jie], Cheng, Y.[Yang], Hao, Q.[Qun], Mou, Z.L.[Zong-Lei],
Study on the performance of three-dimensional ghost image affected by target,
PRL(125), 2019, pp. 508-513.
Elsevier DOI 1909
pulsed laser images. Ghost imaging, Three-dimensional ghost imaging model, Target characteristics BibRef

Zhou, Y.[Yudi], Chen, W.B.[Wei-Biao], Cui, X.Y.[Xiao-Yu], Malinka, A.[Aleksey], Liu, Q.[Qun], Han, B.[Bing], Wang, X.J.[Xue-Ji], Zhuo, W.Q.[Wen-Qi], Che, H.C.[Hao-Chi], Song, Q.J.[Qing-Jun], Zhu, X.L.[Xiao-Lei], Liu, D.[Dong],
Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results,
RS(11), No. 16, 2019, pp. xx-yy.
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Simulate ocean scattering. BibRef

Kim, M.[Minsu], Park, S.[Seonkyung], Danielson, J.[Jeffrey], Irwin, J.[Jeffrey], Stensaas, G.[Gregory], Stoker, J.[Jason], Nimetz, J.[Joshua],
General External Uncertainty Models of Three-Plane Intersection Point for 3D Absolute Accuracy Assessment of Lidar Point Cloud,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Schmitz, B., Kuhlmann, H., Holst, C.,
Investigating the resolution capability of terrestrial laser scanners and its impact on the effective number of measurements,
PandRS(159), 2020, pp. 41-52.
Elsevier DOI 1912
Resolution capability, Stochastic model, Correlations, Laser spot, Effective number of measurements BibRef

Medic, T.[Tomislav], Kuhlmann, H.[Heiner], Holst, C.[Christoph],
Designing and Evaluating a User-Oriented Calibration Field for the Target-Based Self-Calibration of Panoramic Terrestrial Laser Scanners,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
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Liu, W., Li, Z., Li, Y., Sun, S., Sotelo, M.A.,
Using Weighted Total Least Squares and 3-D Conformal Coordinate Transformation to Improve the Accuracy of Mobile Laser Scanning,
GeoRS(58), No. 1, January 2020, pp. 203-217.
IEEE DOI 2001
Measurement by laser beam, Systematics, Global Positioning System, Mathematical model, Laser modes, weighted total least squares (WTLS) BibRef

Phelps, E., Primmerman, C.A.,
Blind Compensation of Angle Jitter for Satellite-Based Ground-Imaging Lidar,
GeoRS(58), No. 2, February 2020, pp. 1436-1449.
IEEE DOI 2001
Jitter, Laser radar, Satellites, Surface reconstruction, Measurement by laser beam, Optical sensors, surface estimation BibRef

Heinz, E.[Erik], Holst, C.[Christoph], Kuhlmann, H.[Heiner], Klingbeil, L.[Lasse],
Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Ravi, R.[Radhika], Habib, A.[Ayman],
Fully Automated Profile-based Calibration Strategy for Airborne and Terrestrial Mobile LiDAR Systems with Spinning Multi-beam Laser Units,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Wang, B.H.[Bin-Hui], Song, S.L.[Sha-Lei], Gong, W.[Wei], Cao, X.[Xiong], He, D.[Dong], Chen, Z.W.[Zhen-Wei], Lin, X.[Xin], Li, F.Q.[Fa-Quan], Sun, J.[Jia],
Color Restoration for Full-Waveform Multispectral LiDAR Data,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Lian, W.Q.[Wei-Qi], Li, S.N.[Shao-Ning], Zhang, G.[Guo], Wang, Y.N.[Ya-Nan], Chen, X.Y.[Xin-Yang], Cui, H.[Hao],
Accuracy Verification of Airborne Large-Footprint Lidar Based on Terrain Features,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Zhong, M.Q.[Mian-Qing], Sui, L.C.[Li-Chun], Wang, Z.H.[Zhi-Hua], Yang, X.M.[Xiao-Mei], Zhang, C.S.[Chuan-Shuai], Chen, N.[Nan],
Recovering Missing Trajectory Data for Mobile Laser Scanning Systems,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
Motion from point cloud data. BibRef

Nagy, B.[Balázs], Benedek, C.[Csaba],
On-the-Fly Camera and Lidar Calibration,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Kim, M.[Minsu], Park, S.[Seonkyung], Irwin, J.[Jeffrey], McCormick, C.[Collin], Danielson, J.[Jeffrey], Stensaas, G.[Gregory], Sampath, A.[Aparajithan], Bauer, M.[Mark], Burgess, M.[Matthew],
Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Montoya, O.[Omar], Icasio, O.[Octavio], Salas, J.[Joaquín],
Coupled: Calibration of a LIDAR and Camera Rig Using Automatic Plane Detection,
MCPR20(209-218).
Springer DOI 2007
BibRef

Santo, H.[Hiroaki], Waechter, M.[Michael], Lin, W.Y.[Wen-Yan], Sugano, Y.[Yusuke], Matsushita, Y.[Yasuyuki],
Light Structure from Pin Motion: Geometric Point Light Source Calibration,
IJCV(128), No. 7, July 2020, pp. 1889-1912.
Springer DOI 2007
BibRef

Santo, H.[Hiroaki], Waechter, M.[Michael], Samejima, M.[Masaki], Sugano, Y.[Yusuke], Matsushita, Y.[Yasuyuki],
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling,
ECCV18(III: 3-19).
Springer DOI 1810
BibRef

Pentek, Q.[Quentin], Kennel, P.[Pol], Allouis, T.[Tristan], Fiorio, C.[Christophe], Strauss, O.[Olivier],
A flexible targetless LiDAR-GNSS/INS-camera calibration method for UAV platforms,
PandRS(166), 2020, pp. 294-307.
Elsevier DOI 2007
Alignment, Automatic, Laser scanner, Multi-sensor, Optical imagery, Point cloud colorization BibRef

Cavallari, T.[Tommaso], Golodetz, S.[Stuart], Lord, N.A.[Nicholas A.], Valentin, J.[Julien], Prisacariu, V.A.[Victor A.], di Stefano, L.[Luigi], Torr, P.H.S.[Philip H. S.],
Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade,
PAMI(42), No. 10, October 2020, pp. 2465-2477.
IEEE DOI 2009
Cameras, Forestry, Real-time systems, Pose estimation, Impedance matching, Training, cascade BibRef

Cavallari, T., Bertinetto, L., Mukhoti, J., Torr, P.H.S., Golodetz, S.,
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation,
3DV19(564-573)
IEEE DOI 1806
Training, Forestry, Cameras, Reservoirs, Image retrieval, Simultaneous localization and mapping, scene coordinate regression BibRef

Zhou, T.F.[Teng-Fei], Cheng, X.J.[Xiao-Jun], Lin, P.[Peng], Wu, Z.L.[Zhen-Lun], Liu, E.S.[En-Sheng],
A General Point-Based Method for Self-Calibration of Terrestrial Laser Scanners Considering Stochastic Information,
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DOI Link 2009
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Li, Q.[Qing], Chen, S.[Shaoyang], Wang, C.[Cheng], Li, X.[Xin], Wen, C.[Chenglu], Cheng, M.[Ming], Li, J.[Jonathan],
LO-Net: Deep Real-Time Lidar Odometry,
CVPR19(8465-8474).
IEEE DOI 2002
BibRef

Przybilla, H.J., Lindstaedt, M., Kersten, T.,
Investigations Into The Quality of Image-based Point Clouds From UAV Imagery,
UAV-g19(539-545).
DOI Link 1912
BibRef

Zainuddin, K., Majid, Z., Ariff, M.F.M., Idris, K.M.,
Measurement Accuracy On 3d Point Cloud Generated Using Multispectral Imagery By Different Calibration Methods,
GGT19(697-703).
DOI Link 1912
BibRef

Hillemann, M., Meidow, J., Jutzi, B.,
Impact of Different Trajectories On Extrinsic Self-calibration For Vehicle-based Mobile Laser Scanning Systems,
PIA19(119-125).
DOI Link 1912
BibRef

Hartmann, J., von Gösseln, I., Schild, N., Dorndorf, A., Paffenholz, J.A., Neumann, I.,
Optimisation of The Calibration Process of a K-TLS Based Multi-sensor-system By Genetic Algorithms,
EuroCOW-M3DMaN19(1655-1662).
DOI Link 1912
BibRef

Nagy, B., Kovács, L., Benedek, C.,
Online Targetless End-to-End Camera-LIDAR Self-calibration,
MVA19(1-6)
DOI Link 1806
BibRef
Earlier:
SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration,
ICIP19(1317-1321)
IEEE DOI 1910
calibration, cameras, image registration, optical radar, automatic camera, 2D image domain, 3D space, structure from motion, Feature extraction. BibRef

Zuñiga-Noël, D.[David], Ruiz-Sarmiento, J.R.[Jose-Raul], Gonzalez-Jimenez, J.[Javier],
Intrinsic Calibration of Depth Cameras for Mobile Robots Using a Radial Laser Scanner,
CAIP19(I:659-671).
Springer DOI 1909
BibRef

Neuhaus, F.[Frank], Koß, T.[Tilman], Kohnen, R.[Robert], Paulus, D.[Dietrich],
MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation,
GCPR18(60-72).
Springer DOI 1905
BibRef

Ogawa, T., Hori, Y.,
Comparison With Accuracy of Terrestrial Laser Scanner By Using Point Cloud Aligned With Shape Matching and Best Fitting Methods,
3DARCH19(535-541).
DOI Link 1904
BibRef

Tang, T., Yoon, D., Pomerleau, F., Barfoot, T.D.,
Learning a Bias Correction for Lidar-Only Motion Estimation,
CRV18(166-173)
IEEE DOI 1812
Laser radar, Motion estimation, Trajectory, Iterative closest point algorithm, Computational modeling, Gaussian process BibRef

Fukushima, N.,
ICP with Depth Compensation for Calibration of Multiple TOF Sensors,
3DTV-CON18(1-4)
IEEE DOI 1812
calibration, cameras, image fusion, image sensors, infrared imaging, iterative methods, robot vision, SLAM (robots), depth compensation, ICP BibRef

Guo, Q.[Qi], Frosio, I.[Iuri], Gallo, O.[Orazio], Zickler, T.[Todd], Kautz, J.[Jan],
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset,
ECCV18(I: 381-396).
Springer DOI 1810
BibRef

Rzeszotarski, D.[Dariusz], Strumillo, P.[Pawel],
An Integrated Procedure for Calibrating and Distortion Correction of the Structure Sensor and Stereo-Vision Depth Sensors,
ICCVG18(222-233).
Springer DOI 1810
BibRef

Pusztai, Z., Hajder, L.,
Accurate Calibration of LiDAR-Camera Systems Using Ordinary Boxes,
MSF17(394-402)
IEEE DOI 1802
Calibration, Cameras, Computer vision, Laser radar, Sensors BibRef

Safaei, A., Fazli, S.,
A new method in simultaneous estimation of Kinect-V2 sensor calibration using shuffled frog leaping algorithm,
IPRIA17(211-215)
IEEE DOI 1712
calibration, cameras, image colour analysis, image sensors, infrared detectors, lenses, matrix algebra, optimisation, shuffled frog leaping algorithm BibRef

Wasenmüller, O.[Oliver], Stricker, D.[Didier],
Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision,
3DModelApp16(II: 34-45).
Springer DOI 1704
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Bogaerts, B.[Boris], Penne, R.[Rudi], Sels, S.[Seppe], Ribbens, B.[Bart], Vanlanduit, S.[Steve],
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Markiewicz, J.S.[Jakub Stefan],
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Nouiraa, H., Deschaud, J.E., Goulettea, F.,
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Xiang, C.Z.[Cheng-Zhi], Ma, X.[Xin], Han, G.[Ge], Liang, A.[Ailin], Gong, W.[Wei],
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Li, L.H.[Lian-Hua], Xiang, S.[Sen], Yang, Y.[You], Yu, L.[Li],
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Ghanem, B.[Bernard], Thabet, A.[Ali], Niebles, J.C.[Juan Carlos], Heilbron, F.C.[Fabian Caba],
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Zhu, M.X.[Meng Xi], Scharfenberger, C.[Christian], Wong, A.[Alexander], Clausi, D.A.[David A.],
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CRV15(39-45)
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Kuznetsova, A.[Alina], Rosenhahn, B.[Bodo],
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Ruan, M.H.[Ming-Hao], Huber, D.[Daniel],
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Lejeune, A.[Antoine], Grogna, D.[David], Van Droogenbroeck, M.[Marc], Verly, J.[Jacques],
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Gottfried, J.M., Nair, R., Meister, S., Garbe, C.S., Kondermann, D.,
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Deng, X.M.[Xiao-Ming], Liu, J.[Jie], Tian, F.[Feng], Chang, L.[Liang], Wang, H.[Hongan],
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Pahwa, R.S.[Ramanpreet Singh], Do, M.N.[Minh N.], Ng, T.T.[Tian Tsong], Hua, B.S.[Binh-Son],
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Afzal, H.[Hassan], Aouada, D.[Djamila], Destelle, F.[François], Mirbach, B.[Bruno], Ottersten, B.[Björn],
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Afzal, H.[Hassan], Aouada, D.[Djamila], Font, D.[David], Mirbach, B.[Bruno], Ottersten, B.[Bjorn],
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Zou, W.[Wuhe], Li, S.[Shigang],
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ICPR14(4200-4205)
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Mader, D., Westfeld, P., Maas, H.G.,
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Zhou, Q.Y.[Qian-Yi], Koltun, V.[Vladlen],
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Jin, B.W.[Bing-Wen], Lei, H.[Hao], Geng, W.D.[Wei-Dong],
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Le Scouarnec, R., Touzé, T., Lacambre, J.B., Seube, N.,
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Chen, C.Y.[Chia-Yen], Chien, H.J.[Hsiang-Jen], Huang, P.S.[Po-Sen],
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Hoermann, T.J., Mills, S., Paulin, M., Reusenzehn, S.,
The design and calibration of a 3D motion capture system for arthropods,
IVCNZ13(265-269)
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Tamas, L., Kato, Z.,
Targetless Calibration of a Lidar: Perspective Camera Pair,
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Arslan, A.E., Kalkan, K.,
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Lilienblum, E.[Erik], Al-Hamadi, A.[Ayoub],
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Lilienblum, E.[Erik], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd],
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Kim, J.H.[Jae-Hean], Choi, J.S.[Jin Sung], Koo, B.K.[Bon-Ki],
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Li, J.M., Li, C.R., Zhou, M., Hu, J., Yang, C.M.,
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Wang, M., Hu, J., Zhou, M., Li, J.M., Zhang, Z.,
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Nakhaeinia, D.[Danial], Payeur, P.[Pierre], Laganiere, R.[Robert],
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Macknojia, R., Chavez-Aragon, A., Payeur, P.[Pierre], Laganiere, R.[Robert],
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Cree, M.J.[Michael J.], Streeter, L.V.[Lee V.], Conroy, R.M.[Richard M.], Dorrington, A.A.[Adrian A.],
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Krause, S., Evert, R.,
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Belhedi, A., Bourgeois, S., Gay-Bellile, V., Sayd, P., Bartoli, A., Hamrouni, K.,
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Belhedi, A.[Amira], Bartoli, A.E.[Adrien E.], Gay-Bellile, V.[Vincent], Bourgeois, S.[Steve], Sayd, P.[Patrick], Hamrouni, K.[Kamel],
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Schenk, K.[Konrad], Kolarow, A.[Alexander], Eisenbach, M.[Markus], Debes, K.[Klaus], Gross, H.M.[Horst-Michael],
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Langmann, B.[Benjamin], Hartmann, K.[Klaus], Loffeld, O.[Otmar],
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Li, J., Gong, W., Ma, Y.,
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Mano, K., Ishii, K., Hirao, M., Tachibana, K., Yoshimura, M., Akca, D., Gruen, A.,
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Zhang, J., Jiang, W., Jiang, S.,
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Malihi, S., Maboudi, M., Pourmomen, M.,
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Al-Durgham, M.[Mohannad], Habib, A.[Ayman],
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Angelats, E., Colomina, I.,
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Angelats, E., Blázquez, M., Colomina, I.,
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Schmidt, M., Zimmermann, K., Jahne, B.,
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Lam, J.[Joseph], Greenspan, M.[Michael],
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Almeida, M.[Miguel], Dias, P.[Paulo], Oliveira, M.[Miguel], Santos, V.[Vítor],
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Zhang, X.P.[Xiao-Ping], Xiao, Y.F.[Yu-Feng], Wang, H.[Heng], Zhang, H.[Hua], Liu, M.[Manlu],
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Li, Y.[Ying], Deng, K.[Kazhong], Li, Y.C.[Ying-Cheng], Liu, P.[Pei], Gu, L.[Linyu],
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Shen, J.[Jing], Liu, J.P.[Ji-Ping], Zhao, R.[Rong], Lin, X.G.[Xiang-Guo],
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Uriarte, C.[Claudio], Scholz-Reiter, B.[Bernd], Ramanandan, S.K.[Sheshu Kalaparambathu], Kraus, D.[Dieter],
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Hu, X.Y.[Xiang-Yun], Zhang, Z.X.[Zu-Xun], Duan, Y.S.[Yan-Song],
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Lamovsky, D.[Denis], Lasaruk, A.[Aless],
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San José Alonso, J.I., Martínez Rubio, J., Fernández Martin, J.J., García Fernández, J.,
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Wang, L.[Liang], Zhang, C.[Chenxi], Yang, R.G.[Rui-Gang], Zhang, C.[Cha],
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Wekel, T.[Tilman], Hellwich, O.[Olaf],
A Robust Approach to Multi-feature Based Mesh Segmentation Using Adaptive Density Estimation,
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Mai, D.[Dominic], Schmidt, T.[Thorsten], Burkhardt, H.[Hans],
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Deschaud, J.E.[Jean-Emmanuel], Goulette, F.[François],
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Yoo, H., Goulette, F., Senpauroca, J., Lepère, G.,
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Dorrington, A., Hyyppa, J., Jaakkola, A., Kaasalainen, S., Lyytikäinen-Saarenmaa, P., Hobpainen, M.,
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Li, X.M.[Xiao-Min], Yan, J.[Jin], Ma, X.C.[Xiao-Chuan], Yang, J.[Jun],
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Laser Scanner Calibration -- Calgary Group, Lichti .