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Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems.
Robust Statistics
P. J. Huber · 1981
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A Method for Registration of 3D Shapes
P.J. Besl and N.D. McKay · 1992
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Signature Verification using a “Siamese” Time Delayed Neural Network
J. Bromley, I. Guyon, Y. LeCun, E. Säckinger, and R. Shah · 1993
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Project and mission planing
Mushtaq Hussain and James Bethel · 2004
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On Actively Closing Loops in Grid-based FastSLAM
C. Stachniss, D. Hähnel, W. Burgard, and G. Grisetti · 2005
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Simultaneous localisation and mapping (SLAM): Part I
T. Bailey and H.F. Durrant-Whyte · 2006
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A high-accuracy rotation estimation algorithm based on 1D phase-only correlation
S. Nagashima, K. Ito, T. Aoki, H. Ishii, and K. Kobayashi · 2007
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HSM3D: feature-less global 6DOF scan-matching in the Hough/Radon domain
A. Censi and S. Carpin · 2009
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Highly scalable appearance-only SLAM - FAB-MAP 2.0
M. Cummins and P. Newman · 2009
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NARF: 3D range image features for object recognition
B. Steder, R.B. Rusu, K. Konolige, and W. Burgard · 2010
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Ford campus vision and lidar data set
G. Pandey, J.R. McBride, and R.M. Eustice · 2011
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Place Recognition in 3D Scans Using a Combination of Bag of Words and Point Feature Based Relative Pose Estimation
B. Steder, M. Ruhnke, S. Grzonka, and W. Burgard · 2011
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Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Visual place recognition: A survey
S. Lowry, N. Sunderhauf, P. Newman, J.J Leonard, D. Cox, P. Corke, and M.J. Milford · 2015
Cited alongside, same era.
A Fast Histogram-Based Similarity Measure for Detecting Loop Closures in 3-D LIDAR Data
T. Röhling, J. Mack, and D. Schulz · 2015
Cited alongside, same era.
Fast range image-based segmentation of sparse 3d laser scans for online operation
I. Bogoslavskyi and C. Stachniss · 2016
Cited alongside, same era.
M2DP: A Novel 3D Point Cloud Descriptor and Its Application in Loop Closure Detection
L. He, X. Wang, and H. Zhang · 2016
Cited alongside, same era.
Real-Time Loop Closure in 2D LIDAR SLAM
W. Hess, D. Kohler, H. Rapp, and D. Andor · 2016
Cited alongside, same era.
Springer Handbook of Robotics, 2nd edition , chapter Chapt. 46: Simultaneous Localization and Mapping
C. Stachniss, J. Leonard, and S. Thrun · 2016
Learning to Localize Using a LiDAR Intensity Map
I. Andrei I.A. Barsan, S. Wang, A. Pokrovsky, and R. Urtasun · 2018
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PointNetVLAD: Deep point cloud based retrieval for large-scale place recognition
A.M. Uy and G.H. Lee · 2018
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SuMa++: Efficient LiDAR-based Semantic SLAM
X. Chen, A. Milioto, E. Palazzolo, P. Giguère, J. Behley, and C. Stachniss · 2019
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Local descriptor for robust place recognition using LiDAR intensity
J. Guo, P.V.K. Borges, C. Park, and A. Gawel · 2019
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1-day learning, 1-year localization: Long-term LiDAR localization using scan context image
G. Kim, B. Park, and A. Kim · 2019
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L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
W. Lu, Y. Zhou, G. Wan, S. Hou, and S. Song · 2019
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Cited alongside, same era.
Fast Global Registration
Q. Zhou, J. Park, and V. Koltun · 2016
Cited alongside, same era.
SegMatch: Segment Based Place Recognition in 3D Point Clouds
R. Dubé, D. Dugas, E. Stumm, J. Nieto, R. Siegwart, and C.C. Lerma · 2017
Cited alongside, same era.
ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G.E. Hinton · 2017
Cited alongside, same era.
Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments
J. Behley and C. Stachniss · 2018
Cited alongside, same era.
Delight: An efficient descriptor for global localisation using lidar intensities
K.P. Cop, P.V.K. Borges, and R. Dub · 2018
Cited alongside, same era.
Learning 3D Segment Descriptors for Place Recognition
A. Cramariuc, R. Dube, H. Sommer, R. Siegwart, and I. Gilitschenski · 2018
Cited alongside, same era.
Later among the works it cites.
RangeNet++: Fast and Accurate LiDAR Semantic Segmentation
A. Milioto, I. Vizzo, J. Behley, and C. Stachniss · 2019
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OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios
L. Schaupp, M. Bürki, R. Dubé, R. Siegwart, and C. Cadena · 2019
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3D LiDAR-Based Global Localization Using Siamese Neural Network
H. Yin, Y. Wang, X. Ding, L. Tang, S. Huang, and R. Xiong · 2019
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Semantically Assisted Loop Closure in SLAM Using NDT Histograms
A. Zaganidis, A. Zerntev, T. Duckett, and G. Cielniak · 2019
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Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments
L. Sun, D. Adolfsson, M. Magnusson, H. Andreasson, I. Posner, and T. Duckett · 2020
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TEASER: Fast and Certifiable Point Cloud Registration
H. Yang, J. Shi, and L. Carlone · 2020
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