no code implementations • 13 Dec 2023 • Bernhard Jaeger, Andreas Geiger
These networks can be optimized with supervised learning, if the target objective is differentiable.
1 code implementation • 16 Oct 2023 • Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
As transformers are equivariant to the permutation of input tokens, encoding the positional information of tokens is necessary for many tasks.
1 code implementation • 29 Jun 2023 • Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
The autonomous driving community has witnessed a rapid growth in approaches that embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle motion plans, instead of concentrating on individual tasks such as detection and motion prediction.
1 code implementation • ICCV 2023 • Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
End-to-end driving systems have recently made rapid progress, in particular on CARLA.
Ranked #1 on CARLA MAP Leaderboard on CARLA
3 code implementations • 31 May 2022 • Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
At the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.
Ranked #6 on Autonomous Driving on CARLA Leaderboard