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

Volume

1

fYear

2010

fDate

17-18 April 2010

Firstpage

284

Lastpage

287

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;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-5514-0

Type

conf

DOI

10.1109/EDT.2010.5496583

Filename

5496583