Abstract
This paper presents the adoption of integration of machine vision and radar-sensor in the development of advanced driver assistant systems which provide collision mitigation and lane change assist functions to alert the drivers. The Collision Avoidance module of the system shall recognize vehicles in the front and monitor the distance to avoid possible collisions. The Lane Change Assist module shall detect presence of any overtaking vehicles within the blind spot zones that may lead to lateral collisions. Techniques for using pure image processing methods and a fusion method combining machine vision and radar-sensors were discussed in this paper.
KEYWORDS – Driver Assistance Systems (DAS), vision-radar fusion, blindspot detection, regions of interest, image processing