Efficient target tracking using mobile sensors

Sirin Nitinawarat, George K. Atia, Venugopal V. Veeravalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A mathematical model for tracking of a moving target by multiple mobile sensors in the framework of a partially observable Markov decision process is discussed. Applications include the use of a fleet of unmanned aerial vehicles for purposes such as search, surveillance, and target tracking. Computationally efficient approximate policies for controlling the mobile sensors are proposed, and a guarantee on their performance losses relative to that of the optimal policy is provided. Simulation results show that our proposed policies do perform close to the optimum for certain stationary models in which a mobile sensor can always move as fast as the target.

Original languageEnglish (US)
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages405-408
Number of pages4
DOIs
StatePublished - 2011
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: Dec 13 2011Dec 16 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Other

Other2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Country/TerritoryPuerto Rico
CitySan Juan
Period12/13/1112/16/11

ASJC Scopus subject areas

  • Computer Networks and Communications

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