Madhavan, R.
and Messina, E.
(2003),
Information-Based Intelligent Unmanned Ground Vehicle Navigation, Intelligent Robots and Systems, International Conference ||2003 IEEE/RSJ International Conference on Intelligent Robots and Systems | IEEE / Robotics Society of Japan
(Accessed January 22, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Information-Based Intelligent Unmanned Ground Vehicle Navigation
Published
Author(s)
,
Abstract
Sensor-centric navigation of Unmanned Ground Vehicles (UGVs) operating in rugged and expansive terrains requires the competency to evaluate the utility of sensor information such that it results in intelligent behavior of the vehicles. In this paper, we propose an entropic information metric for the above purpose where entropy is used to quantify the probabilistic uncertainty in sensor measurements. We present results using data obtained from field trials on an unmanned vehicle to substantiate the utility of the proposed metric. We also show how low and high level tasks can be predicated upon this metric in potential application areas related to autonomous vehicle navigation.Proceedings Title
Intelligent Robots and Systems, International Conference ||2003 IEEE/RSJ International Conference on Intelligent Robots and Systems | IEEE / Robotics Society of Japan
Volume
2003
Issue
4
Conference Dates
October 1, 2003
Conference Title
IEEE International Conference on Intelligent Robots and Systems
Pub Type
Conferences
Keywords
Behavior Generation, Entropy, Information Evaluation, LADAR, Sensor Uncertainty, UGVs
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created October 1, 2003, Updated February 17, 2017