Survey on Blind Spot Detection and Lane Departure Warning Systems

Abstract

The goal of this paper is to propose a solution to improve a driver's safety while changing lanes on the highway in intelligent
vehicle applications. In fact, if the driver is not aware of the presence of a vehicle beside his vehicle a crash can occur. Blind Spot
Detection System and Lane Departure Warning System are the two components of Advanced Driver Assistance System
(ADAS).These two components monitors and warn drivers of lane departure, or assist in vehicle guidance which may be present
in the blind spot area. The blind spot system uses radar based technology and camera based technology. A camera is mounted in
the lateral mirror of a car with the intention of visually detecting cars that cannot be perceived by the vehicle driver since they are
located in the so-called blind spot and the radar is used to calculate the distance of the object from the host vehicle. The Lane
Departure System uses particle filter-based approach. This model parameterizes the relationship between points of left and right
lane boundaries, and can be used to detect all types of lanes .A modified version of an Euclidean distance transform is applied on
an edge map to provide information for boundary point detection.