This paper presents the IVVI 2.0 a smart research platform to foster intelligent systems in vehicles. Computational perception in intelligent transportation systems applications has advantages, such as huge data from vehicle environment, among others, so computer vision systems and laser scanners are the main devices that accomplish this task. Both have been integrated in our intelligent vehicle to develop cutting-edge applications to cope with perception difficulties, data processing algorithms, expert knowledge, and decision-making. The long-term in-vehicle applications, that are presented in this paper, outperform the most significant and fundamental technical limitations, such as, robustness in the face of changing environmental conditions. Our intelligent vehicle operates outdoors with pedestrians and others vehicles, and outperforms illumination variation, i.e.: shadows, low lighting conditions, night vision, among others. So, our applications ensure the suitable robustness and safety in case of a large variety of lighting conditions and complex perception tasks. Some of these complex tasks are overcome by the improvement of other devices, such as, inertial measurement units or differential global positioning systems, or perception architectures that accomplish sensor fusion processes in an efficient and safe manner. Both extra devices and architectures enhance the accuracy of computational perception and outreach the properties of each device separately.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    IVVI 2.0: An intelligent vehicle based on computational perception


    Beteiligte:
    Martin, D. (Autor:in) / Garcia, F. (Autor:in) / Musleh, B. (Autor:in) / Olmeda, D. (Autor:in) / Pelaez, G. (Autor:in) / Marin, P. (Autor:in) / Ponz, A. (Autor:in) / Rodriguez, C. (Autor:in) / Al-Kaff, A. (Autor:in) / De La Escalera, A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2014


    Format / Umfang :

    18 Seiten, 66 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    IVVI 2.0: An intelligent vehicle based on computational perception

    Martín Gómez, David / García Fernández, Fernando / Olmeda Reino, Daniel et al. | BASE | 2014

    Freier Zugriff

    Overview of intelligent vehicle perception

    Li, Yanchen / Liu, Bohang / Zhang, Shuai et al. | SPIE | 2023


    Intelligent Vehicle Control Considering Driver's Visual Perception

    Takahashi, H. / Kuroda, K. / IEEE et al. | British Library Conference Proceedings | 1999


    Vehicle intelligent driving visual perception system architecture and intelligent driving vehicle

    XU YI / JIANG XINMING | Europäisches Patentamt | 2023

    Freier Zugriff

    Intelligent vehicle guiding system based on pavement slippery state perception

    YANG WEI / CHANG HONGDA / ZHAI ZIYANG et al. | Europäisches Patentamt | 2021

    Freier Zugriff