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- W1978205326 abstract "Abstract Unmanned vehicles endowed with attributes of intelligence are finding applications in reconnaissance, surveillance, and rescue operations in both military and civilian domains. We are introducing a methodology to locate a number of such Unmanned Aerial Vehicles (UAVs) optimally over an urban environment and identify and track potential ground targets using a particle filtering framework. The particle filtering framework, when used in conjunction with novel initialization and adaptation techniques, is a robust, reliable state estimation tool that avoids many of the drawbacks of classical techniques. Simulation results support the efficacy of the proposed approach and validate the effectiveness of the algorithmic developments." @default.
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- W1978205326 date "2005-01-01" @default.
- W1978205326 modified "2023-09-25" @default.
- W1978205326 title "RECONNAISSANCE AND SURVEILLANCE IN URBAN TERRAIN WITH UNMANNED AERIAL VEHICLES" @default.
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- W1978205326 doi "https://doi.org/10.3182/20050703-6-cz-1902.02069" @default.
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