Call for Papers: 1st Workshop on Safe Learning for Autonomous Driving @ ICML 2022
77 views
Skip to first unread message
Jon Francis
Apr 11, 2022, 11:09:07 AM4/11/22
to Machine Learning News
Hello all,
Workshop website: https://learn-to-race.org/workshop-sl4ad-icml2022
All papers related to autonomous driving and safe learning are welcome (4-page extended abstracts or 8-page full papers; page count does not include references or appendices).
As the goal is to aggregate all efforts in relevant areas, dual submission is allowed: feel free to submit work-in-progress, work under review, latest results, or work already accepted/published elsewhere.
Start a submission: https://cmt3.research.microsoft.com/SL4AD2022
We also feature Learn-to-Race, an exciting and new AI Challenge in high-speed autonomous racing. Here, the goal is to evaluate the joint safety, performance, and generalization capabilities of perception and control algorithms, as they operate simulated Formula-style racing vehicles at their physical limits! Prize information and more, here: https://www.aicrowd.com/challenges/learn-to-race-autonomous-racing-virtual-challenge
Important dates (all deadlines are in Eastern Daylight Time (EDT), UTC -4, New York):
- Paper submissions due: 20 May 2022
- Author notification: 6 June 2022
- Workshop: 22 July 2022 (tentative)
Everyone is welcome to attend, in-person and/or online. If you are interested, you can subscribe to our mailing list for updates, here: https://lnkd.in/eBHUfFn
Organizers:
All papers related to autonomous driving and safe learning are welcome (4-page extended abstracts or 8-page full papers; page count does not include references or appendices).
As the goal is to aggregate all efforts in relevant areas, dual submission is allowed: feel free to submit work-in-progress, work under review, latest results, or work already accepted/published elsewhere.
Start a submission: https://cmt3.research.microsoft.com/SL4AD2022
We also feature Learn-to-Race, an exciting and new AI Challenge in high-speed autonomous racing. Here, the goal is to evaluate the joint safety, performance, and generalization capabilities of perception and control algorithms, as they operate simulated Formula-style racing vehicles at their physical limits! Prize information and more, here: https://www.aicrowd.com/challenges/learn-to-race-autonomous-racing-virtual-challenge
Important dates (all deadlines are in Eastern Daylight Time (EDT), UTC -4, New York):
- Paper submissions due: 20 May 2022
- Author notification: 6 June 2022
- Workshop: 22 July 2022 (tentative)
Everyone is welcome to attend, in-person and/or online. If you are interested, you can subscribe to our mailing list for updates, here: https://lnkd.in/eBHUfFn
Organizers:
- Jonathan Francis; CMU + Bosch Research
- Hitesh Arora; Amazon
- Bingqing Chen; CMU + Bosch Research
- Xinshuo Weng; CMU + NVIDIA Research
- Siddha Ganju; NVIDIA
- Daniel Omeiza; Oxford
- Jean Oh; CMU
- Eric Nyberg; CMU
- Sylvia L. Herbert; UCSD
- Li Erran Li; Amazon
Reply all
Reply to author
Forward
0 new messages