CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion

3D Multi-object tracking (MOT) ensures consistency during continuous dynamic detection, conducive to subsequent motion planning and navigation tasks in autonomous driving. However, camera-based methods suffer in the case of occlusions and it can be challenging to track the irregular motion of object...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-11, Vol.24 (11), p.1-16
Hauptverfasser:	Wang, Li, Zhang, Xinyu, Qin, Wenyuan, Li, Xiaoyu, Gao, Jinghan, Yang, Lei, Li, Zhiwei, Li, Jun, Zhu, Lei, Wang, Hong, Liu, Huaping
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms autonomous driving camera-LiDAR fusion Cameras Costs Datasets Detectors intelligent transportation systems Laser radar Lidar Motion planning Multi-object tracking Multiple target tracking Object motion Occlusion Optimization Prediction algorithms State of the art Three dimensional motion Three-dimensional displays Tracking Trajectory
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