| dc.date.accessioned | 2005-12-22T02:28:41Z | |
| dc.date.accessioned | 2018-11-24T10:24:28Z | |
| dc.date.available | 2005-12-22T02:28:41Z | |
| dc.date.available | 2018-11-24T10:24:28Z | |
| dc.date.issued | 2005-04-26 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/30541 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/30541 | |
| dc.description.abstract | We introduce Simultaneous Localization and Tracking (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 providing on-line probabilistic estimates of sensor locations and target tracks. It does not require globally accessible beacon signals or accurate ranging between the nodes. When applied to a network of 27 sensor nodes, our algorithm can localize the nodes to within one or two centimeters. | |
| dc.format.extent | 18 p. | |
| dc.format.extent | 40655574 bytes | |
| dc.format.extent | 2128443 bytes | |
| dc.language.iso | en_US | |
| dc.subject | AI | |
| dc.subject | sensor network | |
| dc.subject | localization | |
| dc.subject | bayesian filter | |
| dc.subject | extended kalman filter | |
| dc.title | Simultaneous Localization, Calibration, and Tracking in an ad Hoc Sensor Network | |
