Title :
Path recognition method of agricultural wheeled-mobile robot in shadow environment
Author :
Bo, Zhao ; Hua, Mao Wen ; He, Song Zheng ; Rong, Mao En
Author_Institution :
State Key Lab. of Soil-Plant-Machine Syst., Chinese Acad. of Agric. Mechanization, CAAMS, Beijing, China
Abstract :
This paper investigated the influence of the shadow environment on the path recognition for the vision navigation system of the agricultural wheeled-mobile robot. In base of path recognition in the ordinary environment, a new method based on the SOM neural network was applied to the path recognition in the shadow environment. Experimental results proved that the new method was effective on the shadow environment, and could obtain the target navigation path rapidly, reliably and accurately.
Keywords :
agricultural machinery; mobile robots; path planning; robot vision; self-organising feature maps; wheels; SOM neural network; agricultural wheeled mobile robot; path recognition method; shadow environment; target navigation path; vision navigation system; Agriculture; Crops; Image recognition; Machine vision; Mobile robots; Navigation; Neural networks; Robot kinematics; Robot vision systems; Robotics and automation; SOM neural network; agricultural wheeled-mobile robot; path recognition; shadow environment; vision navigation;
Conference_Titel :
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5514-0
DOI :
10.1109/EDT.2010.5496583
