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A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?

, , and . Intelligent Vehicles Symposium, page 760-767. IEEE, (2018)

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A Knowledge Based System for Traffic Sign Recognition., and . DAGM-Symposium, volume 254 of Informatik-Fachberichte, page 82-89. Springer, (1990)Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving., , and . Intelligent Vehicles Symposium, page 1773-1779. IEEE, (2018)Automatische Verkehrszeichenerkennung: ein stabiles echtzeitfähiges Verkehrszeichenerkennungssystem basierend auf der Auswertung von digitalen Farbbildern.. University of Koblenz Landau, (1997)Benchmarking Automotive LiDAR Performance in Arctic Conditions., , , , , and . ITSC, page 1-8. IEEE, (2020)Using Machine Learning to Detect Ghost Images in Automotive Radar., , , and . ITSC, page 1-7. IEEE, (2020)A Benchmark for Spray from Nearby Cutting Vehicles., , , , , and . ITSC, page 188-195. IEEE, (2021)Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar., , , , , , , , , and 1 other author(s). CoRR, (2019)Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather., , , , , , and . CVPR, page 11679-11689. Computer Vision Foundation / IEEE, (2020)Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog., , , , and . CVPR Workshops, page 11-21. Computer Vision Foundation / IEEE, (2019)Uncertainty depth estimation with gated images for 3D reconstruction., , , and . ITSC, page 1-8. IEEE, (2020)