The Robotics Institute
Search the site
RI | Publications | Real-time image-based topological localization in large outdoor environments

Text only version of this site

Real-time image-based topological localization in large outdoor environments
D. Bradley, R. Patel, N. Vandapel, and S. Thayer
2005 IEEE International Conference on Intelligent Robots and Systems (IROS '05), August, 2005, pp. 3670 - 3677.

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

Download [Help]

Adobe portable document format (pdf) [304 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

This paper presents a real-time implementation of a topological localization method based on matching image features. This work is supported by a unique sensor pod design that provides stand-alone sensing and computing for localizing a vehicle on a previously traveled road. We report extensive field test results from outdoor environments, with the sensor pod mounted on both a small and a large all-terrain vehicle. Off-line analysis of the approach is also presented to evaluate the robustness of the various image features tested against different weather and lighting conditions.

Notes

Number of pages: 8

Text Reference

D. Bradley, R. Patel, N. Vandapel, and S. Thayer, "Real-time image-based topological localization in large outdoor environments," 2005 IEEE International Conference on Intelligent Robots and Systems (IROS '05), August, 2005, pp. 3670 - 3677.

BibTeX Reference

@inproceedings{Bradley_2005_5655,
   author = "David Bradley and Rashmi Patel and Nicolas Vandapel and Scott Thayer",
   title = "Real-time image-based topological localization in large outdoor environments",
   booktitle = "2005 IEEE International Conference on Intelligent Robots and Systems (IROS '05)",
   month = "August",
   year = "2005",
   pages = "3670 - 3677"
}


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