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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hollinger, G.A. Yerramalli, S. Singh, S. Mitra, U. Sukhatme, G.S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, 90089 USA (Hollinger, G.A.; Sukhatme, G.S.) || Dept. of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, 90089 USA (Yerramalli, S.; Mitra, U.) || Robotics Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA (Singh, S.) |
| Abstract | This paper presents coordination and data fusion methods for teams of vehicles performing target search tasks without guaranteed communication. A fully distributed team planning algorithm is proposed that utilizes limited shared information as it becomes available, and data fusion techniques are introduced for merging estimates of the target's position from vehicles that regain contact after long periods of time. The proposed data fusion techniques are shown to avoid overcounting information, which ensures that combining data from different vehicles will not decrease the performance of the search. Motivated by the underwater search domain, a realistic underwater acoustic communication channel is used to determine the probability of successful data transfer between two locations. The channel model is integrated into a simulation of multiple autonomous vehicles in both open ocean and harbor search scenarios. The simulated experiments demonstrate that distributed coordination with limited communication significantly improves team performance versus prior techniques that continually maintain connectivity. |
| Starting Page | 349 |
| Ending Page | 355 |
| File Size | 422410 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781612843865 |
| ISSN | 10504729 |
| e-ISBN | 9781612843858 |
| DOI | 10.1109/ICRA.2011.5979685 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles OFDM Dispersion Noise Underwater acoustics Robots Planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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