A Baseline for 3D Multi-Object Tracking

9 Jul 2019Xinshuo WengKris Kitani

3D multi-object tracking (MOT) is an essential component technology for many real-time applications such as autonomous driving or assistive robotics. However, recent works for 3D MOT tend to focus more on developing accurate systems giving less regard to computational cost and system complexity... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
3D Multi-Object Tracking KITTI 3D Kalman Filter + Birth and Death Memory MOTA 83.34% # 1
3D Multi-Object Tracking KITTI 3D Kalman Filter + Birth and Death Memory MOTP 85.23% # 1