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ARTÍCULO
TITULO

The research of the hazard identification and risk assignment front of the vehicle based on machine vision

Fangyi Yang    
Huasen Wan    
Tiezhu Li    

Resumen

The dangerous object which is front of the vehicle, its? recognition is an important part of driver assistance systems, using the object detection and tracking technology to identify the object in front of the vehicles, and determining its? level of risk, it can greatly reduce the degree of traffic accidents, and improve vehicle safety. In a complex road traffic environment, the video background is dynamic, which leads to many problems when using the current detection and tracking algorithms, researching on these issues, estimating the tracked objects? s motion parameters, assessing their risks and warning.

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