DocumentCode :
2058820
Title :
Ground plane detection for autonomous vehicle in rainforest terrain
Author :
Teoh, CheeWay ; Tan, ChingSeong ; Tan, Yong Chai
Author_Institution :
Univ. Tunku Abdul Rahman, Kuala Lumpur, Malaysia
fYear :
2010
fDate :
20-21 Nov. 2010
Firstpage :
7
Lastpage :
12
Abstract :
This paper presents the determination of the ground plane method for navigation in rainforest terrain using stereo vision. Ground plane detection plays an important role for obstacle detection task as it act as the reference plane of the scene. V-disparity image is widely used to detect the ground plane for on-road and off-road navigation. However, it relies on distinct road features such as lines and edges which may not exist in rainforest terrain. In this work, we attempted to use colour clustering method to extract possible ground profile even without using distinct road features.
Keywords :
collision avoidance; feature extraction; image colour analysis; mobile robots; pattern clustering; robot vision; stereo image processing; terrain mapping; V-disparity image; autonomous vehicle; colour clustering method; ground plane detection; obstacle detection task; off-road navigation; on-road navigation; rainforest terrain; stereo vision; Dielectrics; Differential equations; Equations; Mathematical model; Optical waveguides; Refractive index; V-disparity image; ground plane; rainforest terrain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2010 IEEE Conference on
Conference_Location :
Petaling Jaya
Print_ISBN :
978-1-4244-7504-9
Type :
conf
DOI :
10.1109/STUDENT.2010.5687001
Filename :
5687001
Link To Document :
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