Evaluation of LiDAR Data Processing at the Mobile Network Edge for Connected Vehicles

Olli Mammela, Tiia Ojanperä, Jukka Mäkelä, Ossi Martikainen, Jani Väisänen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    8 Citations (Scopus)


    The next generation mobile technology, 5G, together with edge computing will create new opportunities for developing novel road safety services for supporting connected and automated driving. This paper studies the feasibility and benefits of localized mobile network edge applications for supporting vehicles in diverse conditions. In our network centric approach, the vehicle sensor data processing required by the road safety services is installed into the mobile network edge instead of the vehicles carrying the sensors. This may be necessary due to vehicle processing capacity limitations or business reasons. Specifically, we focus on a LiDAR data based obstacle warning case, in which vehicles receive obstacle warnings from the mobile network edge. We conduct experimental evaluation both in a real vehicle testbed environment and in a laboratory setting. As a result, we obtain first insights on the feasibility of the overall solution and further enhancements needed.

    Original languageEnglish
    Title of host publication2019 European Conference on Networks and Communications
    Subtitle of host publicationEuCNC 2019
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-7281-0546-8, 978-1-7281-0545-1
    ISBN (Print)978-1-7281-0547-5
    Publication statusPublished - 15 Aug 2019
    MoE publication typeA4 Article in a conference publication
    Event28th European Conference on Networks and Communications, EuCNC 2019: EuCNC - Valencia, Spain
    Duration: 18 Jun 201921 Jun 2019


    Conference28th European Conference on Networks and Communications, EuCNC 2019


    • 5G
    • automotive vertical
    • LiDAR
    • MEC
    • testbed.


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