March 28, 2024, 4:45 a.m. | Chihiro Noguchi, Toshiaki Ohgushi, Masao Yamanaka

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18207v1 Announce Type: new
Abstract: The detection of unknown traffic obstacles is vital to ensure safe autonomous driving. The standard object-detection methods cannot identify unknown objects that are not included under predefined categories. This is because object-detection methods are trained to assign a background label to pixels corresponding to the presence of unknown objects. To address this problem, the pixel-wise anomaly-detection approach has attracted increased research attention. Anomaly-detection techniques, such as uncertainty estimation and perceptual difference from reconstructed images, make …

abstract arxiv autonomous autonomous driving cs.cv cs.ro detection detection methods driving identify object object-detection objects obstacles pixels standard traffic type vital

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