Journal article
Decision-theoretic cooperative sensor planning
IEEE transactions on pattern analysis and machine intelligence, Vol.18(10), pp.1013-1023
10/1996
Handle:
https://hdl.handle.net/2376/110542
Abstract
This paper describes a decision-theoretic approach to cooperative sensor planning between multiple autonomous vehicles executing a military mission. For this autonomous vehicle application, intelligent cooperative reasoning must be used to select optimal vehicle viewing locations and select optimal camera pan and tilt angles throughout the mission. Decisions are made in such a way as to maximize the value of information gained by the sensors while maintaining vehicle stealth. Because the mission involves multiple vehicles, cooperation can be used to balance the work load and to increase information gain. This paper presents the theoretical foundations of our cooperative sensor planning research and describes the application of these techniques to ARPA's Unmanned Ground Vehicle program.
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Details
- Title
- Decision-theoretic cooperative sensor planning
- Creators
- D.J Cook - Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USAP Gmytrasiewicz - Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USAL.B Holder - Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
- Publication Details
- IEEE transactions on pattern analysis and machine intelligence, Vol.18(10), pp.1013-1023
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Publisher
- IEEE
- Identifiers
- 99900547192401842
- Language
- English
- Resource Type
- Journal article