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Description
  • This paper exploits the computing power of widely available multi-core machines to accelerate the trajectory planning by parallelisation of the search algorithm. In particular we investigate the approach that schedules the workload on the cores using the hashing function based on the geographical partitioning of the search space. We use this approach to parallelize the AA* algorithm. In our solution, each partition of the geographical space is represented as an agent. The concept is evaluated on the simulation of real-time trajectory planning of aircraft respecting the environment and real aircraft performance models. We show that the approach decreases the planning time significantly on common multi-core machines preserving the quality of the trajectory provided by AA* algorithm.
  • This paper exploits the computing power of widely available multi-core machines to accelerate the trajectory planning by parallelisation of the search algorithm. In particular we investigate the approach that schedules the workload on the cores using the hashing function based on the geographical partitioning of the search space. We use this approach to parallelize the AA* algorithm. In our solution, each partition of the geographical space is represented as an agent. The concept is evaluated on the simulation of real-time trajectory planning of aircraft respecting the environment and real aircraft performance models. We show that the approach decreases the planning time significantly on common multi-core machines preserving the quality of the trajectory provided by AA* algorithm. (en)
Title
  • Towards Parallel Real-Time Trajectory Planning
  • Towards Parallel Real-Time Trajectory Planning (en)
skos:prefLabel
  • Towards Parallel Real-Time Trajectory Planning
  • Towards Parallel Real-Time Trajectory Planning (en)
skos:notation
  • RIV/68407700:21230/12:00193185!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 174726
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00193185
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • trajectory planning; parallel planning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E5D38D73DDB4]
http://linked.open...v/mistoKonaniAkce
  • Salamanca
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Advances on Practical Applications of Agents and Multi-Agent Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kopřiva, Štěpán
  • Pěchouček, Michal
  • Šišlák, David
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000310544200011
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1867-5662
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-28786-2_11
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-28785-5
http://localhost/t...ganizacniJednotka
  • 21230
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