Thank you for participating in the workshop!
Here is the full workshop recording. If you are looking for a link to a particular talk, you can find it in the schedule below.
About the Workshop
This workshop aims to foster communication around current paradigms for autonomous vehicles. While we see sufficient maturity in all parts of the classical self-driving stack, their combined performance leaves room for improvement. In the past years, ML-first solutions have been showing promising results, not only in simulation or simplified scenarios, but also in real-world, complex environments. We want to open up the discussion on the challenges that need to be solved in order to enable the next generation of AVs and to encourage new ideas regarding their scalability and safety.
Speakers
Schedule
All events will be held in the Pennsylvania Convention Center, Room 118 B. All times are in Eastern Time (ET).
Time
08:50
09:00
09:30
10:00
11:00
11:30
12:00
12:30
13:30
14:00
14:30
15:30
16:30
Event
Lunch
Panel Discussion
Closing Remarks
Description
Accepted Papers
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
Thomas Gilbert, Aaron Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu
Uncertainty Estimation for Cross-dataset Performance in Trajectory Prediction
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
Carlos Gómez-Huélamo, Marcos V. Conde, Miguel Ortiz
Coordinated Multi-Agent Motion Planning via Imitation Learning
Andrei Ivanovic, Rowan McAllister, Ashkan Mirzaei, Igor Gilitschenski
Towards Transferable Interactive Policies for Automated Driving with Hidden Parameter Block MDPs
Danial Kamran, Etienne Bührle
Yiwei Lyu, Wenhao Luo, John Dolan
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
Charles Packer, Nicholas Rhinehart, Rowan McAllister, Matthew Wright, Xin Wang, Jeff He, Sergey Levine, Joseph Gonzalez
Charles Richter, Patrick Barragan, Sertac Karaman
Estimation of Appearance and Occupancy Information in Bird’s Eye View from Surround Monocular Images
Sarthak Sharma, Unnikrishnan Nair, Udit Singh Parihar, Midhun Menon, Srikanth Vidapanakal
LiDAR-as-Camera for End-to-End Driving
Ardi Tampuu, Tambet Matiisen, Romet Aidla
Group Distributionally Robust Reinforcement Learning
Mengdi Xu, Peide Huang, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
Organizers
Wayve
Toyota Research Institute
University of Warsaw
Cambridge
Woven Planet
Toyota Research Institute
Berkeley
Woven Planet
Mila
Program Committee
Location
Room 118-B
Pennsylvania Convention Center
1101 Arch St, Philadelphia, PA 19107, United States (map)
Contact
icra2022av@googlegroups.com
Sponsors
Thanks to Wayve for sponsoring the virtual poster session on Gathertown.