Environmental perception for intelligent vehicles

Jose M. Armingol, Jorge Alfonso, Nourdine Aliane, Miguel Clavijo, Sergio Campos-Cordobés, Arturo de la Escalera, Javier del Ser, Javier Fernández, Fernando García, Felipe Jiménez, Antonio M. López, Mario Mata, David Martín, José M. Menéndez, Javier Sanchez-Cubillo, Davi Vázquez, Gabrie Villalonga

    Research output: Chapter in Book/Report/Conference proceedingChapter

    7 Citations (Scopus)

    Abstract

    Environmental perception represents, because of its complexity, a challenge for Intelligent Transport Systems due to the great variety of situations and different elements that can happen in road environments and that must be faced by these systems. In connection with this, so far there are a variety of solutions as regards sensors and methods, so the results of precision, complexity, cost, or computational load obtained by these works are different. In this chapter some systems based on computer vision and laser techniques are presented. Fusion methods are also introduced in order to provide advanced and reliable perception systems.

    Original languageEnglish
    Title of host publicationIntelligent Vehicles: Enabling Technologies and Future Developments
    EditorsFelipe Jiménez
    Place of PublicationOxford
    PublisherElsevier B.V.
    Chapter2
    Pages23-101
    Number of pages79
    ISBN (Electronic)9780128128008
    ISBN (Print)9780128131084
    DOIs
    Publication statusPublished - 15 Sept 2017

    Keywords

    • environmental perception
    • intelligent vehicles
    • intelligent transportation systems
    • ITS

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