Cooperative dynamic pathfinding for multiple autonomous underwater vehicles using D* / Vincent Myers, DRDC Atlantic. : D68-4/044-2011E-PDF

"A method for finding least-cost paths through an area by collaborating agents is presented. The method relies on extending existing dynamic path planning algorithms, namely D*, to the multi-agent case. The search tree is centrally updated and then used by the agents to cooperatively decide upon which areas to survey, the results of which are then used to update the current best path. Several numerical examples are given where it is shown that, on average, a competitive ratio — the ratio between the cost of the path found by dynamic algorithm and one operating with full knowledge of the area—of nearly one can be achieved while requiring a survey of less than half the total area. It is also shown that the total mission time scales linearly with the number of vehicles, meaning little to no effort wasted on vehicle coordination. In the context of mine countermeasures (MCM) operations with autonomous underwater vehicles (AUVs), the results indicate that a channel through a potentially mined area representing an amount of risk nearly equal to the optimal path can be found in significantly less time than the time required to survey the entire area"--Abstract, page i.

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Renseignements sur la publication
Ministère/Organisme Canada. Defence R&D Canada.
Canada. Defence R&D Canada - Atlantic.
Titre Cooperative dynamic pathfinding for multiple autonomous underwater vehicles using D* / Vincent Myers, DRDC Atlantic.
Titre de la série Technical report ; DRDC Atlantic TR 2011-044
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Cover title.
"January 2011."
Includes bibliographical references (pages 24-25).
Includes abstracts and summaries in English and French.
Information sur la publication Dartmouth NS : Defence Research and Development Canada - Atlantic, 2011.
Auteur / Contributeur Myers, Vincent, author.
Description 1 online resource (viii, 26 pages, 2 unnumbered pages) : colour illustrations.
Numéro de catalogue
  • D68-4/044-2011E-PDF
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