Skyline For Video-based Virtual Rail For Vehicle Navigation

A new concept of video-based virtual rail for vehicle navigation on pre- scheduled paths is proposed. The virtual rail uses skylines as landmarks for vehicle navigation in suburban residential areas. A video-based virtual rail is composed of skylines and the corresponding road locations. By matching the current skylines with the virtual rail, current vehicle location can be determined. Preliminary experimental results show that the longitudinal spatial resolution of one meter can be achieved.

[1]  Ikuo Fukui TV image processing to determine the position of a robot vehicle , 1981, Pattern Recognit..

[2]  F. Iwaki,et al.  Recognition of vehicle's location for navigation , 1989, Conference Record of papers presented at the First Vehicle Navigation and Information Systems Conference (VNIS '89).

[3]  M.R. Foster Vehicle location for route guidance , 1989, Conference Record of papers presented at the First Vehicle Navigation and Information Systems Conference (VNIS '89).

[4]  R. D. Briskman Vehicle Location By Satellite , 1988, International Congress on Transportation Electronics,.

[5]  Jake K. Aggarwal,et al.  Position estimation for an autonomous mobile robot in an outdoor environment , 1992, IEEE Trans. Robotics Autom..

[6]  Álvaro Enrique Arenas,et al.  Position verification of a mobile robot using standard pattern , 1987, IEEE Journal on Robotics and Automation.

[7]  Bir Bhanu,et al.  Landmark recognition for autonomous mobile robots , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[8]  Avinash C. Kak,et al.  Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation , 1989, UAI.

[9]  Tod S. Levitt,et al.  Qualitative Navigation for Mobile Robots , 1990, Artif. Intell..

[10]  Ajit Singh,et al.  Incremental estimation of image flow using a Kalman filter , 1992, J. Vis. Commun. Image Represent..