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

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

doi:10.1109/EuCNC.2019.8802049

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

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

Unikie Oy Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

10 Citations (Scopus)

Abstract

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 language	English
Title of host publication	2019 European Conference on Networks and Communications
Subtitle of host publication	EuCNC 2019
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	83-88
ISBN (Electronic)	978-1-7281-0546-8, 978-1-7281-0545-1
ISBN (Print)	978-1-7281-0547-5
DOIs	https://doi.org/10.1109/EuCNC.2019.8802049
Publication status	Published - 15 Aug 2019
MoE publication type	A4 Article in a conference publication
Event	28th European Conference on Networks and Communications, EuCNC 2019: EuCNC - Valencia, Spain Duration: 18 Jun 2019 → 21 Jun 2019

Conference

Conference	28th European Conference on Networks and Communications, EuCNC 2019
Country/Territory	Spain
City	Valencia
Period	18/06/19 → 21/06/19

Keywords

5G
automotive vertical
LiDAR
MEC
testbed.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EuCNC.2019.8802049

Cite this

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title = "Evaluation of LiDAR Data Processing at the Mobile Network Edge for Connected Vehicles",

abstract = "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.",

keywords = "5G, automotive vertical, LiDAR, MEC, testbed.",

author = "Olli Mammela and Tiia Ojanper{\"a} and Jukka M{\"a}kel{\"a} and Ossi Martikainen and Jani V{\"a}is{\"a}nen",

year = "2019",

month = aug,

day = "15",

doi = "10.1109/EuCNC.2019.8802049",

language = "English",

isbn = "978-1-7281-0547-5",

pages = "83--88",

booktitle = "2019 European Conference on Networks and Communications",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "28th European Conference on Networks and Communications, EuCNC 2019 : EuCNC ; Conference date: 18-06-2019 Through 21-06-2019",

}

Mammela, O, Ojanperä, T, Mäkelä, J, Martikainen, O & Väisänen, J 2019, Evaluation of LiDAR Data Processing at the Mobile Network Edge for Connected Vehicles. in 2019 European Conference on Networks and Communications: EuCNC 2019., 8802049, IEEE Institute of Electrical and Electronic Engineers, pp. 83-88, 28th European Conference on Networks and Communications, EuCNC 2019, Valencia, Spain, 18/06/19. https://doi.org/10.1109/EuCNC.2019.8802049

Evaluation of LiDAR Data Processing at the Mobile Network Edge for Connected Vehicles. / Mammela, Olli; Ojanperä, Tiia; Mäkelä, Jukka et al.
2019 European Conference on Networks and Communications: EuCNC 2019. IEEE Institute of Electrical and Electronic Engineers, 2019. p. 83-88 8802049.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Martikainen, Ossi

AU - Väisänen, Jani

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N2 - 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.

AB - 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.

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KW - automotive vertical

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KW - testbed.

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

Abstract

Conference

Keywords

UN SDGs

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