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The value of delayed information in tracking with distributed sensor networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/53180

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dc.contributor.advisor Ertin, Emre
dc.creator Dean, Christopher L.
dc.date.accessioned 2012-11-10T17:26:29Z
dc.date.available 2012-11-10T17:26:29Z
dc.date.issued 2012-12
dc.identifier.uri http://hdl.handle.net/1811/53180
dc.description 2012 Undergraduate Research Scholarship en_US
dc.description.abstract Tracking the movement of objects using multiple sensors (such as tracking vehicles or people using a distributed set of video cameras) is a topic of importance in security and automation applications. A prime consideration in these multi-sensor tracking networks is the timeliness of estimates, as tracking is a time-sensitive task. Current methods for handling delayed observations can be computationally intensive while minimally improving the estimate. This work aims to develop methods for estimating the value of delayed information. The value of observations from a variety of sensor locations at time points in the past are evaluated using the proposed strategy. We derive the relationships and trends that relate the 'age' of past sensor data to its marginal contribution toward improving the accuracy of an estimate of the current location of an object. Low-complexity methods for assessing the value of delayed sensor information can impact applications in defense and national security, personal electronics, and financial engineering where timely decisions are paramount. en_US
dc.language.iso en_US en_US
dc.publisher The Ohio State University en_US
dc.relation Academic Major: Computer Science and Engineering en_US
dc.relation.ispartofseries The Ohio State University. Department of Electrical and Computer Engineering Honors Theses; 2012 en_US
dc.subject tracking en_US
dc.subject signal processing en_US
dc.subject sensor management en_US
dc.subject filtering en_US
dc.subject information fusion en_US
dc.title The value of delayed information in tracking with distributed sensor networks en_US
dc.type Thesis en_US
dc.description.embargo No embargo en_US