Name
Abstract | ||
|---|---|---|
This paper presents an image reorganization procedure aimed to speed-up and simplify the detection of road boundaries in automotive road following applications. Some results of road markings detection in images acquired from the MOB-LAB land vehicle are presented, together with the description of the current and future implementations of the reorganization procedure on the PAPRICA system. The data reorganization process offers the possibility of designing and implementing on a SIMD processor an extremely simple and robust low-level algorithm for the detection of road markings. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICIP.1995.537689 | ICIP (3) |
Keywords | Field | DocType |
road boundary,paprica system,reorganization procedure,image reorganization procedure,data reorganization process,road marking,automotive road,simd processor,mob-lab land vehicle,road markings detection,pixel,feature extraction,noise figure,morphology,image processing,automotive engineering,edge detection | Computer vision,Data reorganization,Computer science,Edge detection,Image processing,Implementation,Feature extraction,Pixel,Artificial intelligence,Simd processor,Automotive industry | Conference |
ISBN | Citations | PageRank |
0-8186-7310-9 | 4 | 0.70 |
References | Authors | |
2 | 1 | |