A massively parallel approach to real-time vision-based road markings detection

Abstract

This paper presents the vision-based road detection system currently operative onto the MOB-LAB land vehicle. Based on a full-custom low-cost massively parallel system, it achieves real-time performances (/spl sime/17 Hz) in the processing of image sequences, due to the extremely efficient implementation of the algorithm. Assuming a flat road and the complete set of acquisition parameters are known (camera position, orientation, optics), the system is capable to detect road markings on structured roads even in extremely severe shadow conditions.