Carnegie Mellon University
Vision Guided Lane Transition

Todd Jochem, Dean Pomerleau , and Chuck Thorpe
IEEE Symposium on Intelligent Vehicles, September, 1995, pp. 30 - 35.

  • Adobe portable document format (pdf) (514KB)
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.

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.

Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): NavLab
Associated Project(s): Autonomous Land Vehicle In a Neural Network

Text Reference
Todd Jochem, Dean Pomerleau , and Chuck Thorpe, "Vision Guided Lane Transition," IEEE Symposium on Intelligent Vehicles, September, 1995, pp. 30 - 35.

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