MED 2025 Paper Abstract

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Paper WeBA.6

Savkin, Andrey V. (Univ. of New South Wales), Li, Siyuan (University of New South Wales), VERMA, SATISH CHANDRA (UNSW), Ni, Wei (CSIRO)

Optimal Privacy-Aware UAV Trajectory Planning

Scheduled for presentation during the Regular Session "Navigation" (WeBA), Wednesday, June 11, 2025, 15:40−16:00, Auditorium

33rd Mediterranean Conference on Control and Automation, June 10-13, 2025, Tangier, Morocco

This information is tentative and subject to change. Compiled on May 9, 2025

Keywords Unmanned systems, Navigation, Optimisation

Abstract

This paper considers a problem of privacy-aware trajectory planning for an Unmanned Aerial Vehicle (UAV). The objective is to navigate the UAV from an initial position to a final position within a given time limit so that the UAV avoids no-fly zones and areas with high privacy violation risk while minimizing a cost function describing the total privacy violation risk. An effective algorithm for UAV trajectory planning is developed, and its global optimality is proved.

 

 

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