Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios

In recent years, autonomous vehicle driving technology and advanced driver assistance systems have played a key role in improving road safety. However, weather conditions such as snow pose severe challenges for autonomous driving and are an active research area. Thanks to their superior reliability,...

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Vydáno v:	IEEE sensors journal Ročník 21; číslo 15; s. 16839 - 16851
Hlavní autoři:	Vachmanus, Sirawich, Ravankar, Ankit A., Emaru, Takanori, Kobayashi, Yukinori
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Advanced driver assistance systems data fusion Datasets Feature extraction Feature maps Image segmentation Machine learning Modules Neural networks Roads Semantic segmentation Semantics Sensors Snow thermal camera Thermal mapping Traffic safety Training Weather
ISSN:	1530-437X, 1558-1748
On-line přístup:	Získat plný text
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