1 code implementation • NeurIPS 2023 • Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc van Gool
The real-world deployment of an autonomous driving system requires its components to run on-board and in real-time, including the motion prediction module that predicts the future trajectories of surrounding traffic participants.
2 code implementations • 7 Mar 2023 • Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc van Gool
We present TrafficBots, a multi-agent policy built upon motion prediction and end-to-end driving, and based on TrafficBots we obtain a world model tailored for the planning module of autonomous vehicles.
1 code implementation • 7 Mar 2023 • Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc van Gool
To this end, we propose a safe model-free RL algorithm with a novel multiplicative value function consisting of a safety critic and a reward critic.
2 code implementations • ICCV 2021 • Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc van Gool
Our end-to-end agent achieves a 78% success rate while generalizing to a new town and new weather on the NoCrash-dense benchmark and state-of-the-art performance on the challenging public routes of the CARLA LeaderBoard.