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This paper deals with the problem of tracking a specific target moving through a complex urban environment using co-operative airborne imaging sensors. We demonstrate algorithms to maintain a line of sight to the target where possible and adapts to occlusions, and other sensor limitations, as the vehicle moves through a complex urban environment. This work exploits an advanced simulation capability, built around Unreal Engine 5, that can generate realistic video data which is used to test and to stress tracking algorithms whilst providing ground truth data for true targets and for collateral entities.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Elias J. Griffith,Alexander M. Phillips,Liam Mai,Simon Maskell, andJason F. Ralph
"Target tracking in a complex simulated world", Proc. SPIE 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI, 132000K (1 November 2024); https://doi.org/10.1117/12.3031696
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Elias J. Griffith, Alexander M. Phillips, Liam Mai, Simon Maskell, Jason F. Ralph, "Target tracking in a complex simulated world," Proc. SPIE 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI, 132000K (1 November 2024); https://doi.org/10.1117/12.3031696