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Position Estimation
This project is no longer active.

Head: Martial Hebert

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC

For more information, see this project's homepage.

The overall goal of this research effort is to develop a means for an autonomous rover to use vision to improve estimates of its own pose by using naturally occurring terrain features as landmarks. The approach assumes that the rover is given no a priori map information, and so must estimate where the landmarks are in order to use them to estimate its own pose.

Name - Title <Email Address>
• Matthew Deans - PhD Student, RI
• [Home] Martial Hebert - Professor <hebert@ri.cmu.edu>
• Chuck Thorpe - Dean, Qatar Campus <thorpe@qatar.cmu.edu>
• [Home] Nicolas Vandapel - Project Scientist <vandapel@ri.cmu.edu>

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Finding Images of Landmarks in Video Sequences
  Y. Takeuchi and M. Hebert
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98), June, 1998. [Abstract]
  Download: pdf [193 KB], ps.gz [861 KB] copyrighted