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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dore, P.-E. Martin, A. Abi-Zeid, I. Jousselme, A.-L. Maupin, P. |
| Copyright Year | 2009 |
| Description | Author affiliation: RDDC-VALCARTIER, 2459 Pie XI North, VAL-BELAIR, QC, G3J 1X5, Canada (Jousselme, A.-L.; Maupin, P.) || E3I2 EA3876 - ENSIETA, 2 rue Francois Verny, 29806 BREST Cedex 09, France (Dore, P.-E.; Martin, A.) || MONADE - Dpt. OSD, FSA - Université Laval, QUÉBEC, G1K 7P4, Canada (Abi-Zeid, I.) |
| Abstract | This paper presents a belief function approach for the location distribution of a search object in an optimal search planning context. We propose several ways to update the negative information obtained following an unsuccessful search mission using a belief functions framework. The discrete search space is defined by cells. We first represent the location information at the cell scale. We then generalize it to the complete grid. We compare different models for updating information on the search object location. We also suggest a way to take into account false alarms to test the expressive power of this framework and deal with a multi-sensor context. |
| Starting Page | 514 |
| Ending Page | 521 |
| File Size | 1367524 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Object detection Search problems Testing Resource management Sea measurements Information resources Oceans Probability density function search and rescue Optimal search theory of belief functions false alarm |
| Content Type | Text |
| Resource Type | Article |
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