TY - CHAP
T1 - The Cooperative Hunters - Efficient and Scalable Drones Swarm for Multiple Targets Detection
AU - Altshuler, Yaniv
AU - Pentland, Alex
AU - Bruckstein, Alfred M.
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - This work examines the Cooperative Hunters problem, where a swarm of Unmanned Air Vehicles (UAVs) is used for searching after one or more “evading targets”, which freely maneuver in a predefined area while trying to avoid detection by the swarm’s drones. By arranging themselves into an efficient geometric collaborative flight formation, the drones optimize their integrated sensing capabilities, enabling the completion of a successful search of a rectangular territory. This designed is shown to be able to guarantee the detection of the targets, even in cases where the targets are faster than the swarm’s drones and have better sensors. This is achieved through the inherent scalability of the proposed design which can compensate any addition to the targets’ ability to maneuver or foresee the behavior of the drones with an increase in the number of drones.
AB - This work examines the Cooperative Hunters problem, where a swarm of Unmanned Air Vehicles (UAVs) is used for searching after one or more “evading targets”, which freely maneuver in a predefined area while trying to avoid detection by the swarm’s drones. By arranging themselves into an efficient geometric collaborative flight formation, the drones optimize their integrated sensing capabilities, enabling the completion of a successful search of a rectangular territory. This designed is shown to be able to guarantee the detection of the targets, even in cases where the targets are faster than the swarm’s drones and have better sensors. This is achieved through the inherent scalability of the proposed design which can compensate any addition to the targets’ ability to maneuver or foresee the behavior of the drones with an increase in the number of drones.
UR - http://www.scopus.com/inward/record.url?scp=85027275948&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-63604-7_7
DO - 10.1007/978-3-319-63604-7_7
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SN - 978-3-319-63602-3
VL - 729
T3 - Studies in Computational Intelligence
SP - 187
EP - 205
BT - SWARMS AND NETWORK INTELLIGENCE IN SEARCH
ER -