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

1 Citation (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.

Fingerprint Dive into the research topics of 'Evaluation of LiDAR Data Processing at the Mobile Network Edge for Connected Vehicles'. Together they form a unique fingerprint.

Cite this