Mobile robot navigation based on visual landmark recognition

M Mata, JM Armingol, A de la Escatera, MA Salichs

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.
    Original languageEnglish
    Title of host publicationIntelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes)
    EditorsH. Asama, H. Inoue
    PublisherElsevier B.V.
    Pages185-190
    Number of pages6
    ISBN (Print)9780080438993
    DOIs
    Publication statusPublished - 2002

    Publication series

    NameIFAC Proceedings Volumes
    PublisherElsevier
    Number19
    Volume34
    ISSN (Electronic)1474-6670

    Fingerprint

    Mobile robots
    Navigation
    Navigation systems
    Genetic algorithms

    Keywords

    • mobile robots
    • genetic algorithms
    • computer vision
    • landmark-based navigation

    Cite this

    Mata, M., Armingol, JM., de la Escatera, A., & Salichs, MA. (2002). Mobile robot navigation based on visual landmark recognition. In H. Asama, & H. Inoue (Eds.), Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes) (pp. 185-190). (IFAC Proceedings Volumes; Vol. 34, No. 19). Elsevier B.V.. https://doi.org/10.1016/S1474-6670(17)33134-8
    Mata, M ; Armingol, JM ; de la Escatera, A ; Salichs, MA. / Mobile robot navigation based on visual landmark recognition. Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes). editor / H. Asama ; H. Inoue. Elsevier B.V., 2002. pp. 185-190 (IFAC Proceedings Volumes; 19).
    @inbook{13d96873e1aa44899dfadd61abf69e06,
    title = "Mobile robot navigation based on visual landmark recognition",
    abstract = "This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.",
    keywords = "mobile robots, genetic algorithms, computer vision, landmark-based navigation",
    author = "M Mata and JM Armingol and {de la Escatera}, A and MA Salichs",
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    Mata, M, Armingol, JM, de la Escatera, A & Salichs, MA 2002, Mobile robot navigation based on visual landmark recognition. in H Asama & H Inoue (eds), Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes). IFAC Proceedings Volumes, no. 19, vol. 34, Elsevier B.V., pp. 185-190. https://doi.org/10.1016/S1474-6670(17)33134-8

    Mobile robot navigation based on visual landmark recognition. / Mata, M; Armingol, JM; de la Escatera, A; Salichs, MA.

    Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes). ed. / H. Asama; H. Inoue. Elsevier B.V., 2002. p. 185-190 (IFAC Proceedings Volumes; Vol. 34, No. 19).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    TY - CHAP

    T1 - Mobile robot navigation based on visual landmark recognition

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    AU - Armingol, JM

    AU - de la Escatera, A

    AU - Salichs, MA

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    N2 - This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.

    AB - This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.

    KW - mobile robots

    KW - genetic algorithms

    KW - computer vision

    KW - landmark-based navigation

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    DO - 10.1016/S1474-6670(17)33134-8

    M3 - Chapter

    SN - 9780080438993

    T3 - IFAC Proceedings Volumes

    SP - 185

    EP - 190

    BT - Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes)

    A2 - Asama, H.

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    PB - Elsevier B.V.

    ER -

    Mata M, Armingol JM, de la Escatera A, Salichs MA. Mobile robot navigation based on visual landmark recognition. In Asama H, Inoue H, editors, Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes). Elsevier B.V. 2002. p. 185-190. (IFAC Proceedings Volumes; 19). https://doi.org/10.1016/S1474-6670(17)33134-8