DocumentCode
3183054
Title
A new method for obstacle detection in ITS
Author
Gangyi, Jiang ; Mei, Yu ; Sailong, He ; Shoudong, Shi ; Xiao, LIU
Volume
2
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
1770
Abstract
In a 2D road image, vertical edges of a vehicle still keep vertical and do not converge, therefore obstacle detection can be performed in the 2D image plane. With the help of the detected lane structure, two obstacle detection schemes are given. One uses edge detection and binary rank order filtering (BROF) techniques for the cases of normal luminance, the other utilizes weighted mean filter and region identification to detect regions of vehicle tail lights in the evening or at night. Experimental analyses are. given, and longitudinal distance of a vehicle is obtained.
Keywords
automated highways; digital filters; edge detection; object detection; 2D road image; BROF; ITS; binary rank order filtering; edge detection; lane structure; longitudinal distance; luminance; obstacle detection; region identification; vehicle tail lights; weighted mean filter; Filtering; Filters; Image converters; Image edge detection; Image processing; Intelligent sensors; Intelligent transportation systems; Remotely operated vehicles; Road vehicles; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180145
Filename
1180145
Link To Document