| Title |
Paving the Way for Autonomous Cars in the City of Tomorrow: A Prototype for Mobile Devices Support at the Edges of 5G Network |
| ID_Doc |
44176 |
| Authors |
Raissi, F; Ouedraogo, CA; Yangui, S; Camps, F; Hadj-Alouane, NB |
| Title |
Paving the Way for Autonomous Cars in the City of Tomorrow: A Prototype for Mobile Devices Support at the Edges of 5G Network |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-030-17642-6_48 |
| 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. |
| Author Keywords |
3GPP IMS; 5G; Autonomous car; IoT; IoMT; MEC |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000719569100048 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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