The Robotics Institute
Search the site
RI | Publications | Rapidly Adapting Machine Vision for Automated Vehicle Steering

Text only version of this site

Rapidly Adapting Machine Vision for Automated Vehicle Steering
D. Pomerleau and T. Jochem
IEEE Expert: Special Issue on Intelligent System and their Applications, Vol. 11, No. 2, April, 1996, pp. 19-27.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Download [Help]

Adobe portable document format (pdf) [1657 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

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.

Notes

Associated center: VASC
Associated lab/group: NavLab
Associated project: Rapidly Adapting Lateral Position Handler

Note: see also IEEE Intelligent Systems

Text Reference

D. Pomerleau and T. Jochem, "Rapidly Adapting Machine Vision for Automated Vehicle Steering," IEEE Expert: Special Issue on Intelligent System and their Applications, Vol. 11, No. 2, April, 1996, pp. 19-27.

BibTeX Reference

@article{Pomerleau_1996_616,
   author = "Dean Pomerleau and Todd Jochem",
   title = "Rapidly Adapting Machine Vision for Automated Vehicle Steering",
   journal = "IEEE Expert: Special Issue on Intelligent System and their Applications",
   month = "April",
   year = "1996",
   volume = "11",
   number = "2",
   pages = "19-27",
   note = "see also IEEE Intelligent Systems"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu