Image-based tracking and sensor resource management for UAVs in an urban environment

Ashwin Samant; K. C. Chang

doi:10.1117/12.852100

27 April 2010 Image-based tracking and sensor resource management for UAVs in an urban environment

Ashwin Samant, K. C. Chang

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 76970D (2010) https://doi.org/10.1117/12.852100
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Coordination and deployment of multiple unmanned air vehicles (UAVs) requires a lot of human resources in order to carry out a successful mission. The complexity of such a surveillance mission is significantly increased in the case of an urban environment where targets can easily escape from the UAV's field of view (FOV) due to intervening building and line-of-sight obstruction. In the proposed methodology, we focus on the control and coordination of multiple UAVs having gimbaled video sensor onboard for tracking multiple targets in an urban environment. We developed optimal path planning algorithms with emphasis on dynamic target prioritizations and persistent target updates. The command center is responsible for target prioritization and autonomous control of multiple UAVs, enabling a single operator to monitor and control a team of UAVs from a remote location. The results are obtained using extensive 3D simulations in Google Earth using Tangent plus Lyapunov vector field guidance for target tracking.

Citation Download Citation

Ashwin Samant and K. C. Chang "Image-based tracking and sensor resource management for UAVs in an urban environment", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970D (27 April 2010); https://doi.org/10.1117/12.852100

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