The Autonomous Vehicle Vision 2021 (AVVision’21) workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of visual environment perception for autonomous driving. In this one-day workshop, we will have regular paper presentations and invited speakers to present the state of the art as well as the challenges in autonomous driving. Furthemore, we have prepared several large-scale, synthetic and real-world datasets, which have been annotated by the HKUST, UDI, CalmCar, ATG Robotics, etc. Based on these datasets, three challenges will be hosted to understand the current status of computer vision and machine/deep learning algorithms in solving the visual environment perception problems for autonomous driving:
• CalmCar MTMC Tracking Challenge;
• HKUST-UDI UDA Challenge;
• KITTI Object Detection Challenge.
