Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches

Abstract

The aim of this article attempts to propose an advanced design of driver assistance system which can provide thedriver advisable information about the adjacent lanes and approaching lateral vehicles. The experimental vehiclehas a camera mounted at the left side rear view mirror which captures the images of adjacent lane. The detectionof lane lines is implemented with methods based on image processing techniques. The candidates for lateralvehicle are explored with lane-based transformation, and each one is verified with the characteristics of its length,width, time duration, and height. Finally, the distances of lateral vehicles are estimated with the well-trainedrecurrent functional neuro-fuzzy network. The system is tested with nine video sequences captured when thevehicle is driving on Taiwan’s highway, and the experimental results show it works well for different road conditionsand for multiple vehicles.