In emerging autonomous vehicles, perception of the environment around the vehicle depends not only on the quality and choice of sensor type, but more importantly also on the instrumented location and orientation of each of the sensors. This chapter explores the synthesis of heterogeneous sensor configurations towards achieving vehicle autonomy goals. We propose a novel optimization framework called VESPA that explores the design space of sensor placement locations and orientations to find the optimal sensor configuration for a vehicle. We demonstrate how our framework can obtain optimal sensor configurations for heterogeneous sensors deployed across two contemporary real vehicles.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sensing Optimization in Automotive Platforms


    Beteiligte:
    Kukkala, Vipin Kumar (Herausgeber:in) / Pasricha, Sudeep (Herausgeber:in) / Dey, Joydeep (Autor:in) / Pasricha, Sudeep (Autor:in)


    Erscheinungsdatum :

    2023-09-02


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Service-Oriented Architecture for Automotive Software Platforms

    Aoyama, M. / Nakamichi, N. / Sato, J. et al. | British Library Conference Proceedings | 2008


    Design space exploration of automotive platforms in Metropolis

    Zeng,H. / Davare,A. / Sangiovanni-Vincentelli,A. et al. | Kraftfahrwesen | 2006


    Applying an Automatic Inspection Environment for Automotive Platforms

    Morikawa, Akihisa / Kataoka, Ayumu / Hattori, Hiroyuki et al. | SAE Technical Papers | 2008