2019
DOI: 10.1007/978-3-030-25332-5_20
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Visual and Thermal Data for Pedestrian and Cyclist Detection

Abstract: With the continued advancement of autonomous vehicles and their implementation in public roads, accurate detection of vulnerable road users (VRUs) is vital for ensuring safety. To provide higher levels of safety for these VRUs, an effective detection system should be employed that can correctly identify VRUs in all types of environments (e.g. VRU appearance, crowded scenes) and conditions (e.g. fog, rain, night-time). This paper presents optimal methods of sensor fusion for pedestrian and cyclist detection usi… Show more

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Cited by 3 publications
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References 34 publications
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