The 1st Autonomous Vehicle Vision (AVVision)
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.
Furthermore, we have prepared several large-scale, synthetic and real-world
datasets, which have been annotated by CalmCar, HKUST, UDI, and ATG Robotics.
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.
01/10/2021: Thank you for attending the 1st AVVision workshop! If you would like to subscribe our mailing list for the future AVVision events, please send your email address to firstname.lastname@example.org!
01/06/2021: the accepted papers are available at https://openaccess.thecvf.com/WACV2021_workshops/AVV!
01/06/2021: the regular paper presentations are available now!
01/05/2021: we will organize an AVVision Sepcial Session at ICIP'21!
12/23/2020: the workshop program is now available!
11/29/2020: eight regular papers are accepted to this workshop!
11/08/2020: the submission system will be temporarily closed between 11/09/2020 and 11/22/2020!
10/25/2020: the CalmCar MTMC Tracking Challenge instructions are released!
10/23/2020: the HKUST-UDI UDA Challenge instructions are released!
10/01/2020: the submission system is now open: https://cmt3.research.microsoft.com/AVV2021/!