DocumentCode :
2028543
Title :
Symbolic Road Perception-based Autonomous Driving in Urban Environments
Author :
Foedisch, M. ; Madhavan, R. ; Schlenoff, C.
Author_Institution :
Nat. Inst. of Stand. & Technol., Gaithersburg, MD
fYear :
2006
fDate :
11-13 Oct. 2006
Firstpage :
12
Lastpage :
12
Abstract :
Our previous work on road detection for autonomous road vehicles suggests the usage of high-level symbolic knowledge about the road structure. In this paper, we present our new approach to symbolic road recognition. We explain feature extraction, model representation, and the tree search-based matching processes and discuss performance evaluation results.
Keywords :
feature extraction; image recognition; mobile robots; road vehicles; roads; tree searching; autonomous driving; feature extraction; road detection; symbolic knowledge; symbolic road perception; symbolic road recognition; tree search; Data mining; Feature extraction; Image edge detection; Image reconstruction; NIST; Navigation; Road vehicles; Skeleton; Solid modeling; US Government;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location :
Washington, DC
ISSN :
1550-5219
Print_ISBN :
0-7695-2739-6
Electronic_ISBN :
1550-5219
Type :
conf
DOI :
10.1109/AIPR.2006.38
Filename :
4133954
Link To Document :
بازگشت