New results in stereo-based automatic vehicle guidance

Abstract

Presents new results on vision based longitudinal and lateral vehicle control. The novel feature of this approach is the use of binocular vision. The authors integrate two modules consisting of an obstacle tracking algorithm based on binocular stereo, and a lane marker detection algorithm, and show that the integration results in a improved performance for each of the modules.