The Robotics Institute

Carnegie Mellon Robotics Institute

Not available for download due to copyright restrictions. Please contact the author(s) for a copy.

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

In this paper we address the issue of Computer Vision in Antarctica for robot navigation by analysing images collected at Patriot Hills, Antarctica in the Fall of 1998. Conditions produced by polar weather and terrain are unique and challenging for perception equipment and computer vision algorithms. The later aspect will be studied here through the evaluation of a colour segmentation algorithm, a stereovision algorithm and a feature points detector and tracker algorithm.

Keywords

computer vision, autonomous navigation, polar terrain

Notes

Associated Center(s) / Consortia: Space Robotics Initiative and Field Robotics Center

Associated Project(s): Robotic Antarctic Meteorite Search

Text Reference

Nicolas Vandapel, Raja Chatila, Stewart Moorehead, Simon Lacroix, Dimitrios (Dimi) Apostolopoulos, and William (Red) L. Whittaker, "Evaluation of Computer Vision Algorithms for Autonomous Navigation in Polar Terrains," International Conference on Intelligent Autonomous Systems, 2000.

BibTeX Reference

@inproceedings{Vandapel_2000_3356,
   author = "Nicolas Vandapel and Raja Chatila and Stewart Moorehead and Simon Lacroix and Dimitrios (Dimi) Apostolopoulos and William (Red) L. Whittaker",
   title = "Evaluation of Computer Vision Algorithms for Autonomous Navigation in Polar Terrains",
   booktitle = "International Conference on Intelligent Autonomous Systems",
   year = "2000",
}

The Robotics Institute

Menu