June 11, 2024, 4:51 a.m. | Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.06264v1 Announce Type: new
Abstract: State-of-the-art approaches for autonomous driving integrate multiple sub-tasks of the overall driving task into a single pipeline that can be trained in an end-to-end fashion by passing latent representations between the different modules. In contrast to previous approaches that rely on a unified grid to represent the belief state of the scene, we propose dedicated representations to disentangle dynamic agents and static scene elements. This allows us to explicitly compensate for the effect of both …

abstract art arxiv autonomous autonomous driving contrast cs.cv driving dynamic fashion grid modules multiple pipeline state tasks type world

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