Combining A Priori Knowledge and Sensor Information for Updating the Global Position of an Autonomous Vehicle

Zoran Zivkovic, Albert Schoute, Ferdinand van der Heijden

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    Abstract

    The problem of updating the global position of an autonomous vehicle is considered. An iterative procedure is proposed to fit a map to a set of noisy measurements. The procedure is inspired by a non-parametric procedure for probability density function mode searching. We show how this could be used to solve the global position update problem in an efficient and robust way. The simple procedure combines the a priori knowledge from the known map of the environment, the extracted information from calibrated camera images and the information from the vehicle wheels rotation measurements. Because it is very simple the procedure is appropriate to be performed in real-time.
    Original languageEnglish
    Title of host publicationProceedings of the 8th Mechatronics Forum International Conference, Mechatronics 2000
    Subtitle of host publicationUniversity of Twente, Netherlands, 24-26 June 2002
    EditorsJ. van Amerongen, B. Jonker, P.P.L Regtien, S. Stramigioli
    Place of PublicationEnschede, Netherlands
    PublisherDrebbel Institute for Mechatronics
    Pages643-651
    Number of pages9
    ISBN (Print)9789036517669
    Publication statusPublished - Jun 2002
    Event8th Mechatronics Forum International Conference, MECHATRONICS 2002 - Enschede, Netherlands
    Duration: 24 Jun 200226 Jun 2002
    Conference number: 8

    Conference

    Conference8th Mechatronics Forum International Conference, MECHATRONICS 2002
    Abbreviated titleMechatronics 2002
    Country/TerritoryNetherlands
    CityEnschede
    Period24/06/0226/06/02

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