Abstract
This paper describes intersection recognition in urban environments to acquire appropriate motion decision for autonomous navigation. Intersection shape which includes width, curvature, position and heading of a road, is given by road geometry scanned from onboard laser sensor. It is proposed that an intersection existence can be classified from constructed map. The proposed method is implemented and the effectiveness of the intersection recognition is verified in outdoor environment.
