Advanced Driver Assistance Systems (ADAS) are quickly becoming one of the most intriguing research topics pursued by automakers to improve traffic safety and transportation effectiveness. Over the last ten years, ADAS has increased driving safety. These are the systems that aid drivers in improving vehicle safety while they are on the road by taking the appropriate action in response to potential hazards to vehicle safety. Since road traffic accidents account for over 35.2% of all accidental deaths and are the sixth most common cause of death in India, there is a pressing need for study into this issue. The adaptive pre-processing methods needed to extract additional features from the photos in our dataset are presented in this study. Here, the algorithms for movement anticipation are discussed along with inside and outside feature extraction strategies. It then contrasts the results with conventional categorization methods

Anticipation, ADAS, Vehicle, Autonomous, NHTSA.