DocumentCode :
2914091
Title :
Road-surface abstraction using ladar sensing
Author :
Yuan, Xia ; Zhao, Chun-xia ; Cai, Yun-fei ; Zhang, Haofeng ; Chen, De-bao
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
1097
Lastpage :
1102
Abstract :
Propose a road-surface abstraction algorithm which suitable for structured and semi-structured road environments. Algorithm uses fuzzy cluster method which based on maximum entropy theory to cluster ladar points that belong to a scan line. After fitting clustered data linearly, one can abstract straight lines that belong to road-surface by their location and slope angle. We can acquire a current referenced horizontal by comparing several continuous ladar scan lines and then the algorithm abstracts obstacles on road-surface area. Experiments show our algorithm works well in spite of the road-boundary´s shape is regular or not, and free from the impact of complex texture or irregular illumination of the road.
Keywords :
maximum entropy methods; optical radar; remote sensing by radar; roads; complex texture; continuous ladar scan lines; fuzzy cluster method; irregular illumination; ladar sensing; maximum entropy theory; road-surface abstraction; Clustering algorithms; Entropy; Laser radar; Lighting; Millimeter wave radar; Roads; Robot sensing systems; Robot vision systems; Robotics and automation; Shape; fuzzy cluster; ladar; maximum entropy; road-surface abstraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795673
Filename :
4795673
Link To Document :
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