Title :
A massively parallel approach to real-time vision-based road markings detection
Author_Institution :
Dipartimento di Ingegneria dell´´Inf., Parma Univ., Italy
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 (≃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
Keywords :
computer vision; image sequences; navigation; object detection; parallel processing; real-time systems; road vehicles; MOB-LAB land vehicle; computer vision; image sequences; massively parallel processing; real-time systems; shadow conditions; vision-based road markings detection; Cameras; Color; Hardware; Image segmentation; Image sequences; Land vehicles; Real time systems; Roads; Ultraviolet sources; Vehicle detection;
Conference_Titel :
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2983-X
DOI :
10.1109/IVS.1995.528262
