DocumentCode
1731616
Title
A massively parallel approach to real-time vision-based road markings detection
Author
Broggi, Alberto
Author_Institution
Dipartimento di Ingegneria dell´´Inf., Parma Univ., Italy
fYear
1995
Firstpage
84
Lastpage
89
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location
Detroit, MI
Print_ISBN
0-7803-2983-X
Type
conf
DOI
10.1109/IVS.1995.528262
Filename
528262
Link To Document