Hello all,We are happy to announce the 1st Workshop on Safe Learning for Autonomous Driving (SL4AD), co-located with the International Conference on Machine Learning (ICML 2022), to be held in Baltimore and online.*Workshop website:* https://learn-to-race.org/workshop-sl4ad-icml2022/We envision this workshop bringing together researchers and industry practitioners from different AI subfields to work towards safer and more robust autonomous technology. All papers related to autonomous driving 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, or work already accepted/published elsewhere.*Start a submission:* https://cmt3.research.microsoft.com/SL4AD2022We also feature 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 2022Everyone 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
Thank you, Bingqing Chen on behalf of SL4AD@ICML organizers <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
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