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Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. (arXiv:2205.01414v1 [cs.CV])
May 4, 2022, 1:11 a.m. | Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner
cs.LG updates on arXiv.org arxiv.org
Tremendous progress in deep learning over the last years has led towards a
future with autonomous vehicles on our roads. Nevertheless, the performance of
their perception systems is strongly dependent on the quality of the utilized
training data. As these usually only cover a fraction of all object classes an
autonomous driving system will face, such systems struggle with handling the
unexpected. In order to safely operate on public roads, the identification of
objects from unknown classes remains a crucial …
arxiv autonomous autonomous driving cv detection driving multimodal objects
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