PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds

26 Feb 2020 Sukai Wang Yuxiang Sun Chengju Liu Ming Liu

Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use filters (e.g., Kalman filter or particle filter) to predict object locations in a time sequence, however, they are vulnerable to extreme motion conditions, such as sudden braking and turning... (read more)

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