Optimal UAV coordination for target tracking using dynamic programming

This work focuses on optimal routing for two camera-equipped UAVs cooperatively tracking a single target moving on the ground. The UAVs are small fixed-wing aircraft cruising at a constant speed and fixed altitude; consequently, the vehicles are modeled as planar Dubins vehicles. A perspective trans...

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Main Authors: Quintero, S., Papi, Francesco, Klein, D., Chisci, L., Hespanha, J.
Format: Conference Paper
Published: 2010
Online Access:http://hdl.handle.net/20.500.11937/24527
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author Quintero, S.
Papi, Francesco
Klein, D.
Chisci, L.
Hespanha, J.
author_facet Quintero, S.
Papi, Francesco
Klein, D.
Chisci, L.
Hespanha, J.
author_sort Quintero, S.
building Curtin Institutional Repository
collection Online Access
description This work focuses on optimal routing for two camera-equipped UAVs cooperatively tracking a single target moving on the ground. The UAVs are small fixed-wing aircraft cruising at a constant speed and fixed altitude; consequently, the vehicles are modeled as planar Dubins vehicles. A perspective transformation, relating the image-plane measurements to the ground, allows derivation of the geolocation (target localization) error covariance. Using dynamic programming, we compute optimal coordinated control policies which minimize the fused geolocation error covariance. A surprising result, and the main contribution of this work, is that the dominant factor governing the optimal UAV routes is coordination of the distances to the target, not of the viewing directions as is traditionally assumed. ©2010 IEEE.
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spelling curtin-20.500.11937-245272018-03-29T09:08:01Z Optimal UAV coordination for target tracking using dynamic programming Quintero, S. Papi, Francesco Klein, D. Chisci, L. Hespanha, J. This work focuses on optimal routing for two camera-equipped UAVs cooperatively tracking a single target moving on the ground. The UAVs are small fixed-wing aircraft cruising at a constant speed and fixed altitude; consequently, the vehicles are modeled as planar Dubins vehicles. A perspective transformation, relating the image-plane measurements to the ground, allows derivation of the geolocation (target localization) error covariance. Using dynamic programming, we compute optimal coordinated control policies which minimize the fused geolocation error covariance. A surprising result, and the main contribution of this work, is that the dominant factor governing the optimal UAV routes is coordination of the distances to the target, not of the viewing directions as is traditionally assumed. ©2010 IEEE. 2010 Conference Paper http://hdl.handle.net/20.500.11937/24527 10.1109/CDC.2010.5717933 restricted
spellingShingle Quintero, S.
Papi, Francesco
Klein, D.
Chisci, L.
Hespanha, J.
Optimal UAV coordination for target tracking using dynamic programming
title Optimal UAV coordination for target tracking using dynamic programming
title_full Optimal UAV coordination for target tracking using dynamic programming
title_fullStr Optimal UAV coordination for target tracking using dynamic programming
title_full_unstemmed Optimal UAV coordination for target tracking using dynamic programming
title_short Optimal UAV coordination for target tracking using dynamic programming
title_sort optimal uav coordination for target tracking using dynamic programming
url http://hdl.handle.net/20.500.11937/24527