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Autonomous Functions for UAV Surveillance

J. Rydell


This paper describes various autonomous functions that have been studied for a simulated reconnaissance scenario in an urban environment. Such reconnaissance missions are generally difficult because the targets are often obscured by buildings, trees etc. Since urban environments are usually populated with many vehicles and people, the association problem is challenging. Methods for target reidentification are therefore necessary.

In most applications the human perception is superior to today's signal processing algorithms. Nonetheless, there are many situations where an increased level of signal processing on board a sensor platform increases the overall performance for both manned and unmanned systems, e.g. by assisting operators with target detection and tracking.

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