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 Hong Kong University of Science
and Technology (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 Challenge;
• HKUST-UDI UDA Challenge;
• KITTI Object Detection Challenge.
10/01/2020: the submission system is now open: https://cmt3.research.microsoft.com/AVV2021/