Experiments with the LOIS (Likelihood Of Image Shape) Lane detector have demonstrated that the use of a deformable template approach allows robust detection of lane boundaries in visual images. The same algorithm has been applied to detect pavement edges in millimeter wave radar images. In addition to ground vehicle applications involving lane sensing, the algorithm is applicable to airplane applications for tracking runways in either visual or radar data. Previous work on LOIS has focused on the problem of detecting lane edges in individual frames. This paper describes extensions to the LOIS algorithm which allow it to smoothly track lane edges through maneuvers such as lane changes.
Tracking lane and pavement edges using deformable templates
Enhanced and Synthetic Vision 1998 ; 1998 ; Orlando,FL,USA
Proc. SPIE ; 3364
1998-07-30
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Object Tracking using Deformable Templates
British Library Conference Proceedings | 1998
|Motion Detection and Tracking using Deformable Templates
British Library Conference Proceedings | 1994
|Tracking Deformable Templates Using a Shortest Path Algorithm
British Library Online Contents | 2001
|Vehicle Segmentation Using Deformable Templates
British Library Conference Proceedings | 1995
|Motion in Deformable Templates
British Library Conference Proceedings | 1994
|