LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds

CoRL 2023 A major bottleneck to scaling-up training of self-driving perception systems are the human annotations required for supervision. A promising alternative is to leverage "auto-labelling" offboard perception models that are trained to automatically generate annotations from raw LiDA...

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Hauptverfasser:	Yang, Anqi Joyce, Casas, Sergio, Dvornik, Nikita, Segal, Sean, Xiong, Yuwen, Hu, Jordan Sir Kwang, Fang, Carter, Urtasun, Raquel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
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