Path planning with compressed all-pairs shortest paths data

Adi Botea, Daniel Harabor

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Citations (Scopus)

    Abstract

    All-pairs shortest paths (APSP) can eliminate the need to search in a graph, providing optimal moves very fast. A major challenge is storing pre-computed APSP data efficiently. Recently, compression has successfully been employed to scale the use of APSP data to roadmaps and gridmaps of realistic sizes. We develop new techniques that improve the compression power of state-of-the-art methods by up to a factor of 5. We demonstrate our ideas on game gridmpaps and the roadmap of Australia. Part of our ideas have been integrated in the Copa CPD system, one of the two best optimal participants in the grid-based path planning competition GPPC.

    Original languageEnglish
    Title of host publicationICAPS 2013 - Proceedings of the 23rd International Conference on Automated Planning and Scheduling
    Pages293-297
    Number of pages5
    Publication statusPublished - 2013
    Event23rd International Conference on Automated Planning and Scheduling, ICAPS 2013 - Rome, Italy
    Duration: 10 Jun 201314 Jun 2013

    Publication series

    NameICAPS 2013 - Proceedings of the 23rd International Conference on Automated Planning and Scheduling

    Conference

    Conference23rd International Conference on Automated Planning and Scheduling, ICAPS 2013
    Country/TerritoryItaly
    CityRome
    Period10/06/1314/06/13

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