Research on recognition of slippery road surface and collision warning system based on deep learning

Aiming at the problems of slow detection speed, large prediction error and weak environmental adaptability of current vehicle collision warning system, this paper proposes a recognition method of slippery road surface and collision warning system based on deep learning. Firstly, this paper uses the...

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Veröffentlicht in:	PloS one 2024-11, Vol.19 (11), p.e0310858
Hauptverfasser:	Du, Huiqi, Wang, Lei, Cai, Mingjiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Traffic - prevention & control Accuracy Adaptability Adaptive algorithms Algorithms Automobile Driving Biology and Life Sciences Collision avoidance Computer and Information Sciences Deep Learning Driving ability Driving conditions Emergency warning programs Engineering and Technology Environmental monitoring Equipment and supplies Error detection False alarms Growth Humans Innovations Machine learning Management Medicine and Health Sciences Motor vehicles Neural networks Physical Sciences Research and Analysis Methods Road conditions Road surface Roads Roads & highways Support vector machines Traffic accidents & safety Traffic safety Transportation industry Vehicle safety Vehicles Vision systems Warning systems Weather Weather conditions
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