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0305
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Accuracy analysis; Terrestrial laser scanning; Mobile mapping; Validation
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ICPR04(II: 229-232).
IEEE DOI
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Pesci, A.,
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Perenzoni, M.,
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Wu, D.[Di],
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Shim, H.J.[Hyun-Jung],
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Test metrics to characterize and verify short range 3d imaging
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Calibration; Automation; Adjustment; Laser scanning; Parameters;
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Sun, X.L.[Xiao-Li],
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airborne radar
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geophysical signal processing
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Earlier:
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RGB-D cameras
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PAMI(37), No. 7, July 2015, pp. 1501-1513.
IEEE DOI
1506
Calibration
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Mao, Q.Z.[Qing-Zhou],
Zhang, L.[Liang],
Li, Q.Q.[Qing-Quan],
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Feng, S.J.[Shao-Jun],
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Lachat, E.[Elise],
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Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor)
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A 4D Filtering and Calibration Technique for Small-Scale Point Cloud
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RS(7), No. 10, 2015, pp. 13029.
DOI Link
1511
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And:
Erratum:
RS(7), No. 12, 2015, pp. 15865.
DOI Link
1601
BibRef
Lenda, G.[Grzegorz],
Marmol, U.[Urszula],
Mirek, G.[Grzegorz],
Accuracy of Laser Scanners for Measuring Surfaces made of Synthetic
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Ribbens, B.[Bart],
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Elsevier DOI
1512
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Hui, Z.Y.[Zhen-Yang],
Hu, Y.J.[You-Jian],
Yevenyo, Y.Z.[Yao Ziggah],
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Wu, J.[Jun],
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Self-calibration method for rotating laser positioning system using
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JOSA-A(33), No. 4, April 2016, pp. 544-550.
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1604
Instrumentation, measurement, and metrology
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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
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Pauscher, L.[Lukas],
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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.
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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
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Amediek, A.[Axel],
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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)
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Streeter, L.[Lee],
Stochastic calculus analysis of optical time-of-flight range imaging
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JOSA-A(34), No. 7, July 2017, pp. 1063-1072.
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1708
Three-dimensional image acquisition, Lidar, Velocimetry
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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
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MVA(28), No. 7, October 2017, pp. 737-742.
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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
BibRef
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
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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
BibRef
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
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
BibRef
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
BibRef
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
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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
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RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
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
BibRef
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
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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
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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],
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Relative Radiometric Calibration of Airborne LiDAR Data for
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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
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DOI Link
1905
Separating point clouds into ground and non-ground points.
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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
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RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Lichti, D.D.,
Glennie, C.L.,
Al-Durgham, K.,
Jahraus, A.,
Steward, J.,
Explanation for the seam line discontinuity in terrestrial laser
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PandRS(154), 2019, pp. 59-69.
Elsevier DOI
1907
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Man, D.[Duhu],
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Study on the performance of three-dimensional ghost image affected by
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PRL(125), 2019, pp. 508-513.
Elsevier DOI
1909
pulsed laser images.
Ghost imaging, Three-dimensional ghost imaging model, Target characteristics
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Zhou, Y.[Yudi],
Chen, W.B.[Wei-Biao],
Cui, X.Y.[Xiao-Yu],
Malinka, A.[Aleksey],
Liu, Q.[Qun],
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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.
DOI Link
1909
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
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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
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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
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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
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Heinz, E.[Erik],
Holst, C.[Christoph],
Kuhlmann, H.[Heiner],
Klingbeil, L.[Lasse],
Design and Evaluation of a Permanently Installed Plane-Based
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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,
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2002
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Wang, B.H.[Bin-Hui],
Song, S.L.[Sha-Lei],
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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],
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Accuracy Verification of Airborne Large-Footprint Lidar Based on
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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],
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Recovering Missing Trajectory Data for Mobile Laser Scanning Systems,
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2003
Motion from point cloud data.
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Nagy, B.[Balázs],
Benedek, C.[Csaba],
On-the-Fly Camera and Lidar Calibration,
RS(12), No. 7, 2020, pp. xx-yy.
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2004
BibRef
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
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2006
BibRef
Montoya, O.[Omar],
Icasio, O.[Octavio],
Salas, J.[Joaquín],
Coupled: Calibration of a LIDAR and Camera Rig Using Automatic Plane
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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
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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
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ECCV18(III: 3-19).
Springer DOI
1810
BibRef
Pentek, Q.[Quentin],
Kennel, P.[Pol],
Allouis, T.[Tristan],
Fiorio, C.[Christophe],
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A flexible targetless LiDAR-GNSS/INS-camera calibration method for
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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
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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],
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A General Point-Based Method for Self-Calibration of Terrestrial
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2009
BibRef
Kong, Z.[Zheng],
Yin, Z.P.[Zhen-Ping],
Cheng, Y.[Yuan],
Li, Y.C.[Yi-Chen],
Zhang, Z.[Zhen],
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Modeling and Evaluation of the Systematic Errors for the
Polarization-Sensitive Imaging LIDAR Technique,
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2010
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Molero, F.[Francisco],
Pujadas, M.[Manuel],
Artíñano, B.[Begoña],
Study of the Effect of Aerosol Vertical Profile on Microphysical
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2012
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IEEE DOI
2102
backpropagation, calibration, cameras, distance measurement,
error analysis, error compensation, image sensors,
Error compensation
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RGB-D Camera.
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2012
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2011
Measurement, Databases, Distortion,
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2011
Calibration, Training, Pipelines, Cameras,
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2009
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2002
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Przybilla, H.J.,
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Zainuddin, K.,
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Hillemann, M.,
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Impact of Different Trajectories On Extrinsic Self-calibration For
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1912
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Hartmann, J.,
von Gösseln, I.,
Schild, N.,
Dorndorf, A.,
Paffenholz, J.A.,
Neumann, I.,
Optimisation of The Calibration Process of a K-TLS Based
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Nagy, B.,
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Benedek, C.,
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MVA19(1-6)
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Earlier:
SFM And Semantic Information Based Online Targetless Camera-LIDAR
Self-Calibration,
ICIP19(1317-1321)
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1910
calibration, cameras, image registration, optical radar,
automatic camera, 2D image domain, 3D space, structure from motion,
Feature extraction.
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Zuñiga-Noël, D.[David],
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Gonzalez-Jimenez, J.[Javier],
Intrinsic Calibration of Depth Cameras for Mobile Robots Using a Radial
Laser Scanner,
CAIP19(I:659-671).
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1909
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Neuhaus, F.[Frank],
Koß, T.[Tilman],
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Paulus, D.[Dietrich],
MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion
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GCPR18(60-72).
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1905
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Ogawa, T.,
Hori, Y.,
Comparison With Accuracy of Terrestrial Laser Scanner By Using Point
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3DARCH19(535-541).
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1904
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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
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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
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Guo, Q.[Qi],
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ECCV18(I: 381-396).
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1810
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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
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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
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Wasenmüller, O.[Oliver],
Stricker, D.[Didier],
Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and
Precision,
3DModelApp16(II: 34-45).
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1704
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Bogaerts, B.[Boris],
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Vanlanduit, S.[Steve],
A Simple Evaluation Procedure for Range Camera Measurement Quality,
ACIVS16(286-296).
Springer DOI
1611
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Sirmacek, B.[Beril],
Lindenbergh, R.[Roderik],
Wang, J.H.[Jin-Hu],
Quality Assessment And Comparison Of Smartphone And Leica C10 Laser
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ISPRS16(B5: 581-586).
DOI Link
1610
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Mezian, C.,
Vallet, B.[Bruno],
Soheilian, B.[Bahman],
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Uncertainty Propagation For Terrestrial Mobile Laser Scanner,
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DOI Link
1610
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Julge, K.,
Ellmann, A.,
Vajakas, T.,
Kolka, R.,
Initial Tests And Accuracy Assesment Of A Compact Mobile Laser Scanning
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DOI Link
1610
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Heinkelé, C.,
Labbé, M.,
Muzet, V.,
Charbonnier, P.,
Calibration Of The Sr4500 Time-of-flight Camera For Outdoor Mobile
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1610
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Markiewicz, J.S.[Jakub Stefan],
The Use Of Computer Vision Algorithms For Automatic Orientation Of
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1610
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Dragulin, I.,
Voelz, D.,
Quantifying the accuracy of FRI-based LIDAR waveform analysis,
ICIP16(1096-1100)
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1610
Computational modeling
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Hassanein, M.,
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1610
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Nouiraa, H.,
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Point Cloud Refinement With A Target-free Intrinsic Calibration Of A
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1610
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Xiang, C.Z.[Cheng-Zhi],
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On-line Wavelength Calibration Of Pulsed Laser For Co2 Differential
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ISPRS16(B1: 141-146).
DOI Link
1610
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Miller, M.,
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1610
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1610
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The Suitability of Terrestrial Laser Scanning for Building Survey and
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Abbas, M.A.,
Setan, H.,
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Terrestrial Laser Scanners Self-Calibration Study:
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1601
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Structured representation-based robust agile-beam LADAR imaging,
ICIP15(3285-3289)
IEEE DOI
1512
Agile-beam LADAR imaging; computational imaging; image reconstruction
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ICIP15(556-560)
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1512
depth measurement; multi-camera interference; time of light
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Arrays
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Calibration
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Calibration
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Adaptive optics
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Calibration
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Calibration
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Afzal, H.[Hassan],
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Barium
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Calibration
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Jin, B.W.[Bing-Wen],
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calibration
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image motion analysis
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calibration
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Cameras, Optimization, Correlation,
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Cameras
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Chavez-Aragon, A.,
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calibration
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And:
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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 .