Vehicle to vehicle distance measurement for self-driving systems

The driving safety is the first challenge for transportation department. Most of traffic accidents resulted from distraction, inattention to surrounding cars and driving fatigue. Several intelligent transportation systems (ITS) have been invented to deal with this problem and protect drivers, for example smart vehicles, Driving Safety Support Systems (DSSS), self-driving and traffic mobility. In the current paper vehicle to vehicle distance measurement system based on image processing has been presented which is a very simple method using two cameras mounted on the vehicle's windshield as one stereoscopic camera. The distance is calculated from geometrical derivations using additional technical data like distance between the cameras and some other specific angles such as the cameras view field angle … The method achieves a very high accuracy where the calculated distance between the vehicle and the camera is relatively accurate.

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Vehicle to vehicle distance measurement for self-driving systems

Semantic Scholar · Engineering · 2019

Abstract

The driving safety is the first challenge for transportation department. Most of traffic accidents resulted from distraction, inattention to surrounding cars and driving fatigue. Several intelligent transportation systems (ITS) have been invented to deal with this problem and protect drivers, for example smart vehicles, Driving Safety Support Systems (DSSS), self-driving and traffic mobility. In the current paper vehicle to vehicle distance measurement system based on image processing has been presented which is a very simple method using two cameras mounted on the vehicle's windshield as one stereoscopic camera. The distance is calculated from geometrical derivations using additional technical data like distance between the cameras and some other specific angles such as the cameras view field angle … The method achieves a very high accuracy where the calculated distance between the vehicle and the camera is relatively accurate.

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