Path recognition method of agricultural wheeled-mobile robot in shadow environment
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.
Zhao Bo Mao Wen Hua Song Zheng He Mao En Rong
State Key Laboratory of Soil-Plant-Machine system Chinese Academy of Agricultural Mechanization CAAM College of Engineering, China Agricultural University CAU Beijing China
国际会议
深圳
英文
284-287
2010-04-17(万方平台首次上网日期,不代表论文的发表时间)