Abstract
The road to fully and secure autonomous cars is still long and exceedingly complicated. For instance, like smart city and virtual reality, self-driving cars need the infrastructure and data networks to catch up before it become common, safe and widely used. 5G telco network is considered as the required key concept that could enable autonomous cars operation. It would enable edge analytics and intelligence capabilities that are still missing in the current autonomous cars. This paper proposes one more slice of the next-generation self-driving automobile. It introduces a prototype that implements an autonomous car traveling into smart city. The car relies on emerging computing models such as Multi-access Edge Computing to perform part of the computation at the edges of 5G, in the surroundings of the car. The ultimate goal is to reduce latency and allow the car to make rapid decisions during the trip.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
References
Preliminary report highway HWY18MH010. https://bit.ly/2s6Nnbe. Accessed 2 Sept 2018
Di Taranto, R., Muppirisetty, L.S., Raulefs, R., Slock, D., Svensson, T., Wymeersch, H.: Locationaware communications for 5G networks. IEEE Signal Process. Mag. 31(6), 102–112 (2014)
Pagnon, W.: Overview of techniques and applications for autonomous vehicles. Lovotics 2(5) (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Raissi, F., Ouedraogo, C.A., Yangui, S., Camps, F., Hadj-Alouane, N.B. (2019). Paving the Way for Autonomous Cars in the City of Tomorrow: A Prototype for Mobile Devices Support at the Edges of 5G Network. In: Liu, X., et al. Service-Oriented Computing – ICSOC 2018 Workshops. ICSOC 2018. Lecture Notes in Computer Science(), vol 11434. Springer, Cham. https://doi.org/10.1007/978-3-030-17642-6_48
Download citation
DOI: https://doi.org/10.1007/978-3-030-17642-6_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17641-9
Online ISBN: 978-3-030-17642-6
eBook Packages: Computer ScienceComputer Science (R0)