Fresh Perspectives on the Future of Autonomous Driving
ICRA 2022 workshop, May 27th

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

Anca Dragan

UC Berkeley

Adrien Gaidon

Toyota Research Institute

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

Invited Talk: Jamie Shotton (Wayve)

Invited Talk: Patrick Perez (Valeo)

Lightning Talks, Coffee, and Posters

Invited Talk: Adrien Gaidon (TRI)

Invited Talk: Xinshuo Weng (CMU)

Invited Talk: Anca Dragan (UC Berkeley)

Lunch

Invited Talk: Sarah Tang (Waymo)

Invited Talk: Alexander Amini (MIT)

Lightning Talks, Coffee, and Posters

Panel Discussion

Closing Remarks

Accepted Papers


Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles

Thomas Gilbert, Aaron Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu

Paper | Poster | Video


Uncertainty Estimation for Cross-dataset Performance in Trajectory Prediction

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

Paper | Poster | Video

Carlos Gómez-Huélamo, Marcos V. Conde, Miguel Ortiz

Paper | Poster | Video


Coordinated Multi-Agent Motion Planning via Imitation Learning

Andrei Ivanovic, Rowan McAllister, Ashkan Mirzaei, Igor Gilitschenski

Paper | Poster | Video


Towards Transferable Interactive Policies for Automated Driving with Hidden Parameter Block MDPs

Danial Kamran, Etienne Bührle

Paper | Poster | Video


Parametric Control Barrier Functions based Adaptive Safe Control for Heterogeneous Autonomous Vehicles

Yiwei Lyu, Wenhao Luo, John Dolan

Paper | Poster | Video


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

Paper | Poster | Video


Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels

Charles Richter, Patrick Barragan, Sertac Karaman

Paper | Poster


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

Paper | Poster | Video


LiDAR-as-Camera for End-to-End Driving

Ardi Tampuu, Tambet Matiisen, Romet Aidla

Paper | Poster | Video


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

Paper | Poster | Video

Organizers

Blake Wulfe

Toyota Research Institute

Błażej Osiński

University of Warsaw

Anthony Hu

Cambridge

Peter Ondruska

Woven Planet

Rowan McAllister

Toyota Research Institute

Sergey Zagoruyko

Woven Planet

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.