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Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which feature back-and-forth scanning patterns.
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Yuewen Zhu et al · 2020
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“livoxdetection”
Livox Tech · 2020
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“AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.”
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“FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks”
E. Ilg et al · 2017
Cited alongside, same era.
“Vehicle detection based on LiDAR and camera fusion”
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Cited alongside, same era.
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“Ceres Solver”, http://ceres-solver.org
Sameer Agarwal and Keir Mierle
Cited in the paper.
Xinshuo Weng, Jianren Wang, David Held and Kris Kitani · 2020
Later among the works it cites.
“VDO-SLAM: a visual dynamic object-aware SLAM system”
Jun Zhang, Mina Henein, Robert Mahony and Viorela Ila · 2020
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“Low-cost Retina-like Robotic Lidars Based on Incommensurable Scanning”
Zheng Liu, Fu Zhang and Xiaoping Hong · 2021
Closest in time.
“Pixel-Level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments”
Chongjian Yuan, Xiyuan Liu, Xiaoping Hong and Fu Zhang · 2021
Closest in time.