Coordinated target assignment and intercept for unmanned air vehicles

By R. Beard, Timothy W. McLain, Michael A. Goodrich, Erik P. Anderson. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002

819 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b61ec8aeb85bee667d0b4f86d3880cc757402c48

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Citations in the corpus

Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint (2016, background): “I N RECENT years, the coordination problem of multiagent systems has received compelling attention from various scientific communities due to its broad applications in such areas as satellite formation flying [4], cooperative unmanned air vehicles[2], scheduling of automated highway systems[3], and ”
Stable task load balancing strategies for Cooperative control of networked autonomous air vehicles (2006, background): “In [2] and [3], the authors address some of these challenges by presenting hierarchical distributed control schemes which use Voronoi diagrams for generating AAV trajectories while minimizing the risk of threats.”
Autonomous Vehicle Technologies for Small Fixed-Wing UAVs (2003, neutral): “22{24.”
Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs (2006, background): “One version of this problem is where multiple UAVs are required to converge on the boundary of a radar detection area to maximize the element of surprise [12], [13], [14], [15], [16].”
Multiple UAV cooperative searching operation using polygon area decomposition and efficient coverage algorithms (2004, background): “These include cooperative rendezvous [11], coordinated target assignment and intercept [3], multiple task allocation [4], and ISR scenarios [6].”
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, background): “There has also been prior work on target assignment problems (Beard et al., 2002; Arslan et al., 2007; Zavlanos and Pappas, 2007a; Smith and Bullo, 2009).”
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization (2021, methodology): “In [6, 7], the Voronoi diagram has been used to generate a graph which then became the input to the Eppstein’s k -best paths algorithm [8] to ﬁnd the best path.”
Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems (2008, neutral): “, [7], [123], [65], [62], [57], [51], [111]); sorting and clumping [8], and so forth.”