Path recognition method of agricultural wheeled-mobile robot in shadow environment

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.