Proceedings of: Workshop on User-Centric Technologies and Applications (CONTEXTS 2011), Salamanca, April 6-8, 2011 ; This paper presents the design of a navigation system for multiple autonomous robotic platforms. It performs multisensor fusion using a Monte Carlo Bayesian filter, and has been designed to maximize information acquisition. Apart from sensors equipped in the mobile platform, the system can dynamically integrate observations from friendly external sensing entities, increasing robustness and making it suitable for both indoor and outdoor operation. A multi-agent layer manages the information acquisition process, making it transparent for the core filtering solution. As a proof of concept, some preliminary results are presented over a real platform using the part of the system specialized in outdoor navigation ; This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/ TIC-1485) and DPS2008-07029-C02-02. ; publicado


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Opportunistic Multi-sensor Fusion for Robust Navigation in Smart Environments


    Beteiligte:

    Erscheinungsdatum :

    2011-01-01



    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Robust Multi-Sensor Navigation in GNSS Degraded Environments

    Villalobos Hernandez, Guillermo E. / Petrunin, Ivan / Shin, Hyo-Sang et al. | AIAA | 2023


    Robust Multi-Sensor Navigation in GNSS Degraded Environments

    Hernandez, Guillermo E. Villalobos / Petrunin, Ivan / Shin, Hyo-Sang et al. | TIBKAT | 2023


    UAV Waypoint Opportunistic Navigation in GNSS-Denied Environments

    Yang, Yanhao / Khalife, Joe / Morales, Joshua J. et al. | IEEE | 2022


    Virtual lifeline: Multimodal sensor data fusion for robust navigation in unknown environments

    Widyawan, Widyawan / Pirkl, Gerald / Munaretto, Daniele et al. | BASE | 2012

    Freier Zugriff