This workshop aims to foster conversation close to latest paradigms for autonomous cars. When we see adequate maturity in all elements of the classical self-driving stack, their combined efficiency leaves room for improvement. In the past several years, ML-1st alternatives have been showing promising effects, not only in simulation or simplified scenarios, but also in true-environment, sophisticated environments. We want to open up up the dialogue on the troubles that require to be solved in order to enable the upcoming era of AVs and to stimulate new concepts pertaining to their scalability and basic safety.
:08:58 Welcome
:12:45 Jamie Shotton (Wayve)
:55:18 Patrick Perez (Valeo)
2:18:31 Adrien Gaidon (TRI)
2:51:37 Xinshuo Weng (CMU)
3:27:22 Anca Dragan (UC Berkeley)
4:18:15 Alexander Amini (MIT)
5:00:05 Sarah Tang (Waymo)
