Paper Info
Title
On robot self-navigation in outdoor environments by color image processing
Abstract
Road-following by mobile robots under varying outdoor illumination demands special care to be taken on development of an algorithm, which should be flexible to color changes in sunny or shadow parts. The ill-structured weak-paved or dirt roads such as forest or mountain roads have no significant geometrical shape and are not planar. This paper describes a selective color-based road extraction method, in which appropriate color parameters are selected by one sample color of the road. We also report on experiments with mission of a small 4-wheel mobile robot equipped with a color camera sensor through a real natural field.
Year
DOI
Venue
2002
10.1109/ICARCV.2002.1238496
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference
Keywords
Field
DocType
feature extraction,image colour analysis,mobile robots,navigation,roads,video cameras,color camera sensor,color image processing,color parameters,mobile robots,mountain roads,outdoor illumination,real natural field,road extraction method,robot self-navigation
Color image processing,Computer vision,Shadow,Computer graphics (images),Image sensor,Computer science,Feature extraction,Dirt,Artificial intelligence,Mobile robot navigation,Robot,Mobile robot
Conference
Volume
ISBN
Citations 
2
981-04-8364-3
2
PageRank 
References 
Authors
0.49
6
4
Name
Order
Citations
PageRank
Ramin Ghurchian120.49
Takayuki Takahashi2183.37
Zhi Dong Wang323721.91
Eiji Nakano420327.52