DocumentCode
1584771
Title
A robust road recognition algorithm
Author
Hong, Cheng ; Nanning, Zheng ; Xuetao, Zhang ; Li, Zhao
Author_Institution
Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ., China
Volume
6
fYear
2004
Firstpage
5275
Abstract
A new road detection algorithm based on image inhomogeneous features and geometry model is introduced to improve its robustness for illumination variations, shadows, noise, or the discontinuity of road boundary, etc. The local deviation and discontinuity of road image are fused to make in-homogeneous image that is binarized to road edge based on scale-histogram. After estimating the optimum control points using M-estimator road, the edge above can be fitted with Catmull-Rom spline. The simulation results confirm the fine robustness and adaptiveness of the newly proposed algorithm.
Keywords
image recognition; object detection; road traffic; splines (mathematics); Catmull-Rom spline; image inhomogeneous features; road detection algorithm; robust road recognition algorithm; scale-histogram; Artificial intelligence; Computational geometry; Detection algorithms; Electronic mail; Image edge detection; Intelligent robots; Noise robustness; Roads; Solid modeling; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1343729
Filename
1343729
Link To Document