A method for covert video surveillance of a car or a pedestrian by an autonomous aerial drone via trajectory planning

Hailong Huang, Andrey V. Savkin, Wei Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


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.
Original languageEnglish
Title of host publication2020 6th International Conference on Control, Automation and Robotics (ICCAR)
Publication statusPublished - Apr 2020
Externally publishedYes

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