Obstacle and lane detection on ARGO

Abstract

Presents ARGO, the experimental land vehicle developed at the Dipartimento di Ingegneria dell'Informazione of the University of Parma, Italy. ARGO integrates the GOLD (generic obstacle and lane detection) system, a stereo vision-based hardware and software architecture that allows detection of both generic obstacles (without constraints on shape, color or symmetry) on flat roads and the lane position in structured environments (with painted lane markings). In addition, the paper presents an approach that allows us to handle also non-flat roads.