A Method for Covert Video Surveillance of a Car or a Pedestrian by an Autonomous Aerial Drone via Trajectory Planning

Huang, H; Savkin, AV; Ni, W

A Method for Covert Video Surveillance of a Car or a Pedestrian by an Autonomous Aerial Drone via Trajectory Planning

Huang, H Savkin, AV Ni, W

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 6th International Conference on Control, Automation and Robotics (ICCAR), 2020, 00, pp. 446-449
Issue Date:: 2020-06-04

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Field	Value	Language
dc.contributor.author	Huang, H
dc.contributor.author	Savkin, AV
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.date	2020-04-20
dc.date.accessioned	2021-04-09T05:53:31Z
dc.date.available	2021-04-09T05:53:31Z
dc.date.issued	2020-06-04
dc.identifier.citation	2020 6th International Conference on Control, Automation and Robotics (ICCAR), 2020, 00, pp. 446-449
dc.identifier.isbn	9781728161396
dc.identifier.uri	http://hdl.handle.net/10453/147956
dc.description.abstract	This paper considers the application of covert video surveillance of a ground mobile target by an autonomous aerial drone. We design a metric to measure the covertness of the drone. Then, we formulate a multi-objective drone trajectory planning problem, which maximizes the drone disguising performance and minimizes its energy consumption. We furthermore propose a forward dynamic programming method to solve the problem online and conduct simulations to verify its effectiveness.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 6th International Conference on Control, Automation and Robotics (ICCAR)
dc.relation.ispartof	2020 6th International Conference on Control, Automation and Robotics
dc.relation.isbasedon	10.1109/iccar49639.2020.9108036
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Method for Covert Video Surveillance of a Car or a Pedestrian by an Autonomous Aerial Drone via Trajectory Planning
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Singapore
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	091303 Autonomous Vehicles
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-09T05:53:30Z
pubs.finish-date	2020-04-23
pubs.publication-status	Published
pubs.start-date	2020-04-20
pubs.volume	00

Abstract:

This paper considers the application of covert video surveillance of a ground mobile target by an autonomous aerial drone. We design a metric to measure the covertness of the drone. Then, we formulate a multi-objective drone trajectory planning problem, which maximizes the drone disguising performance and minimizes its energy consumption. We furthermore propose a forward dynamic programming method to solve the problem online and conduct simulations to verify its effectiveness.

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http://hdl.handle.net/10453/147956