DocumentCode :
3243198
Title :
Diffused Region of Hough Method Based Road Detection Algorithm
Author :
Lei Shi ; Jian-feng Lu ; Jing-Yu Yang
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
22-24 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Road identification and detection is the essential problem to be solved in intelligent vehicle systems. As the complexity dimension of the surrounding environment increases, road recognition becomes much harder under different interferences. To increment the robustness and interference immunity, a diffused region of Hough based road detection algorithm is proposed in this paper. This algorithm incorporates the global information of road shape, the assistance usage of the diffused region pixels around the road edges in the feature space. Meanwhile, the computing complexity can be decreased and the real-time ability can be increased with the aid of some pre-knowledge and estimated orientation parameters through additional sensor modules. Experiments with images sampled in our system proved the effectiveness and applicability of this method.
Keywords :
Hough transforms; automated highways; image recognition; object detection; parameter estimation; Hough method; diffused region pixel; intelligent vehicle system; parameter estimation; road detection; road identification; road recognition; road shape; Computer science; Detection algorithms; Image edge detection; Intelligent sensors; Intelligent vehicles; Interference; Parameter estimation; Roads; Robustness; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
Type :
conf
DOI :
10.1109/CCPR.2008.92
Filename :
4663045
Link To Document :
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