Abstract
A low-complexity, evidence based navigation algorithm for swarms of mobile sensors is presented. It can be effectively used in scenarios where a particular event signature is characterized by a mix of weak signal modalities with certain degrees of intensity, distributed in a local region. The method is based on Dempster-Shafer (DS) evidence theory and enables the mobile nodes to process temporally ordered sensor data and accommodate imprecise information from multi-modal sensors on board. Local decisions are made based on fused evidence triggering an attractive beacon, which in turn draws other agents for further detection and tracking. Simulation results are presented for a multi-modal signal signature tracking scenario.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Pages | 5078-5083 |
| Number of pages | 6 |
| State | Published - Dec 1 2006 |
| Event | 45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States Duration: Dec 13 2006 → Dec 15 2006 |
Other
| Other | 45th IEEE Conference on Decision and Control 2006, CDC |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 12/13/06 → 12/15/06 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
Cite this
Evidence based navigation in swarms. / Dewasurendra, Duminda A.; Bauer, Peter H.; Scheutz, Matthias; Premaratne, Kamal.
Proceedings of the IEEE Conference on Decision and Control. 2006. p. 5078-5083 4177471.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evidence based navigation in swarms
AU - Dewasurendra, Duminda A.
AU - Bauer, Peter H.
AU - Scheutz, Matthias
AU - Premaratne, Kamal
PY - 2006/12/1
Y1 - 2006/12/1
N2 - A low-complexity, evidence based navigation algorithm for swarms of mobile sensors is presented. It can be effectively used in scenarios where a particular event signature is characterized by a mix of weak signal modalities with certain degrees of intensity, distributed in a local region. The method is based on Dempster-Shafer (DS) evidence theory and enables the mobile nodes to process temporally ordered sensor data and accommodate imprecise information from multi-modal sensors on board. Local decisions are made based on fused evidence triggering an attractive beacon, which in turn draws other agents for further detection and tracking. Simulation results are presented for a multi-modal signal signature tracking scenario.
AB - A low-complexity, evidence based navigation algorithm for swarms of mobile sensors is presented. It can be effectively used in scenarios where a particular event signature is characterized by a mix of weak signal modalities with certain degrees of intensity, distributed in a local region. The method is based on Dempster-Shafer (DS) evidence theory and enables the mobile nodes to process temporally ordered sensor data and accommodate imprecise information from multi-modal sensors on board. Local decisions are made based on fused evidence triggering an attractive beacon, which in turn draws other agents for further detection and tracking. Simulation results are presented for a multi-modal signal signature tracking scenario.
UR - http://www.scopus.com/inward/record.url?scp=36749001338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36749001338&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:36749001338
SN - 1424401712
SN - 9781424401710
SP - 5078
EP - 5083
BT - Proceedings of the IEEE Conference on Decision and Control
ER -