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Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at a large scale outdoor scenario.
J. Canny, “A computational approach to edge detection,” IEEE Transactions on pattern analysis and machine intelligence , no. 6, pp. 679–698, 1986
1986
Earlier work this paper cites.
P. J. Besl and N. D. McKay, “Method for registration of 3-d shapes,” in Sensor fusion IV: control paradigms and data structures , vol. 1611. International Society for Optics and Photonics, 1992, pp. 586–606
1992
Earlier work this paper cites.
R. Unnikrishnan and M. Hebert, “Fast extrinsic calibration of a laser rangefinder to a camera,” Robotics Institute, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-05-09 , 2005
2005
Earlier work this paper cites.
C. Urmson, J. Anhalt, D. Bagnell, C. Baker, R. Bittner, M. Clark, J. Dolan, D. Duggins, T. Galatali, C. Geyer et al. , “Autonomous driving in urban environments: Boss and the urban challenge,” Journal of Field Robotics , vol. 25, no. 8, pp. 425–466, 2008
2008
Earlier work this paper cites.
A. Geiger, F. Moosmann, Ö. Car, and B. Schuster, “Automatic camera and range sensor calibration using a single shot,” in 2012 IEEE International Conference on Robotics and Automation . IEEE, 2012, pp. 3936–3943
2012
Earlier work this paper cites.
G. Pandey, J. R. McBride, S. Savarese, and R. M. Eustice, “Automatic targetless extrinsic calibration of a 3d lidar and camera by maximizing mutual information.” in AAAI . Citeseer, 2012
2012
Earlier work this paper cites.
J. Levinson and S. Thrun, “Automatic online calibration of cameras and lasers.” in Robotics: Science and Systems , vol. 2, 2013, p. 7
2013
Earlier work this paper cites.
J. Zhang and S. Singh, “Loam: Lidar odometry and mapping in real-time.” in Robotics: Science and Systems , vol. 2, no. 9, 2014
2014
Cited alongside, same era.
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardos, “Orb-slam: a versatile and accurate monocular slam system,” IEEE transactions on robotics , vol. 31, no. 5, pp. 1147–1163, 2015
2015
Cited alongside, same era.
J. Zhang and S. Singh, “Visual-lidar odometry and mapping: Low-drift, robust, and fast,” in 2015 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2015, pp. 2174–2181
2015
Cited alongside, same era.
S. J. Wright, “Coordinate descent algorithms,” Mathematical Programming , vol. 151, no. 1, pp. 3–34, 2015
2015
Cited alongside, same era.
R. Mur-Artal and J. D. Tardós, “Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,” IEEE Transactions on Robotics , vol. 33, no. 5, pp. 1255–1262, 2017
T. Shan and B. Englot, “Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2018, pp. 4758–4765
2018
Later among the works it cites.
G. Iyer, R. K. Ram, J. K. Murthy, and K. M. Krishna, “Calibnet: Geometrically supervised extrinsic calibration using 3d spatial transformer networks,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2018, pp. 1110–1117
2018
Later among the works it cites.
2019
Later among the works it cites.
2020
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2017
Cited alongside, same era.
M. Grupp, “evo: Python package for the evaluation of odometry and slam.” https://github.com/MichaelGrupp/evo
2017
Cited alongside, same era.
T. Qin, P. Li, and S. Shen, “Vins-mono: A robust and versatile monocular visual-inertial state estimator,” IEEE Transactions on Robotics , vol. 34, no. 4, pp. 1004–1020, 2018
2018
Cited alongside, same era.
S. Agarwal, K. Mierle, and Others, “Ceres solver,” http://ceres-solver.org
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2020
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J. Lin and F. Zhang, “Loam livox: A fast, robust, high-precision lidar odometry and mapping package for lidars of small fov,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2020, pp. 3126–3131
2020
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