The Robotics Institute
Search the site
RI | Publications | Vision Guided Lane Transition

Text only version of this site

Vision Guided Lane Transition
T. Jochem, D. Pomerleau, and C. Thorpe
IEEE Symposium on Intelligent Vehicles, September, 1995, pp. 30 - 35.

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

Download [Help]

Adobe portable document format (pdf) [513 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

Many systems have been created which can keep an autonomous vehicle within a driving lane, but little experimental work has been reported that describes methods to transition a vehicle between lanes. Three techniques to accomplish lane transition using the ALVINN lane keeping system are reported here. The most basic involves intelligently switching between two trained ALVINN networks. The other techniques use active control of virtual camera views to move the vehicle into the destination lane.

Notes

Associated center: VASC
Associated lab/group: NavLab
Associated project: Autonomous Land Vehicle In a Neural Network

Text Reference

T. Jochem, D. Pomerleau, and C. Thorpe, "Vision Guided Lane Transition," IEEE Symposium on Intelligent Vehicles, September, 1995, pp. 30 - 35.

BibTeX Reference

@inproceedings{Jochem_1995_607,
   author = "Todd Jochem and Dean Pomerleau and Chuck Thorpe",
   title = "Vision Guided Lane Transition",
   booktitle = "IEEE Symposium on Intelligent Vehicles",
   month = "September",
   year = "1995",
   pages = "30 - 35"
}


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