Referenced Items are not available for this document.
We introduce simultaneous localization and tracking, called SLAT, the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network. Our proposed solution, LaSLAT, is a Bayesian filter that provides on-line probabilistic estimates of sensor locations and target tracks. It does not require globally accessible beacon signals or accurate ranging between the nodes. Real hardware experiments are presented for 2D and 3D, indoor and outdoor, and ultrasound and audible ranging-hardware-based deployments. Results demonstrate rapid convergence and high positioning accuracy
Published in:
Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on
Date of Conference: 0-0 0
- Page(s):
- 27 - 33
- Print ISBN:
- 1-59593-334-4
- INSPEC Accession Number:
- 9026701
- Conference Location :
- Nashville, TN
- Digital Object Identifier :
- 10.1109/IPSN.2006.244053
- Product Type:
- Conference Publications
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