Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-Kuang Chiu Jie Li Rareş Ambruş Jeannette Bohg Hsu-Kuang Chiu Jie Li Rareş Ambruş Jeannette Bohg
Multi-object tracking is an important ability for an autonomous vehicle to safely navigate a traffic scene. Current state-of-the-art follows the tracking-by-detection paradigm where existing tracks are associated with detected objects through some distance metric. Key challenges to increase tracking accuracy lie in data association and track life cycle management. We propose a probabilistic, multi...