Information driven optimal sensor control for efficient target localization and tracking

Nagavenkat Adurthi, Puneet Singla

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

8 Scopus citations

Abstract

This paper describes the problem of multiple target tracking and localization using dynamic sensors such as Unmanned Ariel Vehicles. Often the location or path of the target is uncertain and has to be accounted along with UAV fuel costs while optimally planning the dynamic sensor trajectory. The coupled problem of optimal target state estimation and sensor path planning is computationally expensive and at times intractable. In this paper, an iterative sub-optimal control approach is proposed with the intent of a real-time application.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages610-615
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - Jan 1 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2014 American Control Conference, ACC 2014
CountryUnited States
CityPortland, OR
Period6/4/146/6/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Adurthi, N., & Singla, P. (2014). Information driven optimal sensor control for efficient target localization and tracking. In 2014 American Control Conference, ACC 2014 (pp. 610-615). [6859310] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2014.6859310