Rapidly Adapting Machine Vision for Automated Vehicle Steering

The Ralph vision system helps automobile drivers steer, by sampling an image, assessing the road curvature, and determining the lateral offset of the vehicle relative to the lane center. Ralph has performed well under extensive tests, including a coast-to-coast, 2,850-mile drive.

[1]  Charles E. Thorpe,et al.  Color Vision For Road Following , 1989, Other Conferences.

[2]  Donald W. Mathis,et al.  Terrain Classification Using Texture For The ALV , 1989, Other Conferences.

[3]  Charles E. Thorpe,et al.  Representation and recovery of road geometry in YARF , 1992, Proceedings of the Intelligent Vehicles `92 Symposium.

[4]  Henry Schneiderman,et al.  Real-time Visual Processing For Autonomous Driving , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[5]  Kwang-Ick Kim,et al.  An Autonomous Land Vehicle: Design Concept And Preliminary Road Test Results , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[6]  Dean A. Pomerleau,et al.  Neural Network Perception for Mobile Robot Guidance , 1993 .

[7]  L. S. Davis,et al.  The Use Of A Radial Basis Function Network For Visual Autonomous Road Following , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[8]  H.-H. Nagel,et al.  Texture-based segmentation of road images , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[9]  Reinhold Behringer,et al.  The seeing passenger car 'VaMoRs-P' , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[10]  Dean A. Pomerleau,et al.  PANS: a portable navigation platform , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.