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While current 3D object recognition research mostly focuses on the real-time, onboard scenario, there are many offboard use cases of perception that are largely under-explored, such as using machines to automatically generate high-quality 3D labels.
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4d forecasting: Sequential forecasting of 100,000 points, 2020
Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, and Nicholas Rhinehart · 2020
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Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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M. Ye, S. Xu, and T. Cao · 2020
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J. Yin, J. Shen, C. Guan, D. Zhou, and R. Yang · 2020
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Sergey Zakharov, Wadim Kehl, Arjun Bhargava, and Adrien Gaidon · 2020
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End-to-end multi-view fusion for 3d object detection in lidar point clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2020
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https://waymo.com/open/challenges/3d-detection/
Waymo open dataset: 3d detection challenge · 2021
Closest in time.
https://waymo.com/open/challenges/domain-adaptation/
Waymo open dataset: Domain adaptation challenge · 2021
Closest in time.