Information driven optimal sensor control for efficient target localization and tracking

Nagavenkat Adurthi; Puneet Singla

doi:10.1109/ACC.2014.6859310

Information driven optimal sensor control for efficient target localization and tracking

Nagavenkat Adurthi, Puneet Singla

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 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 language	English (US)
Title of host publication	2014 American Control Conference, ACC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	610-615
Number of pages	6
ISBN (Print)	9781479932726
DOIs	https://doi.org/10.1109/ACC.2014.6859310
State	Published - Jan 1 2014
Event	2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: Jun 4 2014 → Jun 6 2014

Publication series

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

Other

Other	2014 American Control Conference, ACC 2014
Country/Territory	United States
City	Portland, OR
Period	6/4/14 → 6/6/14

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2014.6859310

Cite this

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title = "Information driven optimal sensor control for efficient target localization and tracking",

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.",

author = "Nagavenkat Adurthi and Puneet Singla",

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doi = "10.1109/ACC.2014.6859310",

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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., 6859310, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 610-615, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 6/4/14. https://doi.org/10.1109/ACC.2014.6859310

Information driven optimal sensor control for efficient target localization and tracking. / Adurthi, Nagavenkat; Singla, Puneet.
2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 610-615 6859310 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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Information driven optimal sensor control for efficient target localization and tracking

Abstract

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All Science Journal Classification (ASJC) codes

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