Abstract

Future 5G systems have set a goal to support mission-critical Vehicle-to-Everything (V2X) communications and they contribute to an important step towards connected and automated driving. To achieve this goal, the communication technologies should be designed based on a solid understanding of the new V2X applications and the related requirements and challenges. In this regard, we provide a description of the main V2X application categories and their representative use cases selected based on an analysis of the future needs of cooperative and automated driving. We also present a methodology on how to derive the network related requirements from the automotive specific requirements. The methodology can be used to analyze the key requirements of both existing and future V2X use cases.

Highlights

  • Efficient support of cooperative and connected V2X applications is an important step towards the further improvement of advanced driver assistance systems (ADAS) and a key enabler for automated driving

  • Intelligent autonomous navigation includes use cases aimed at building and distributing real-time intelligent high definition (HD) maps, which enable optimal route selection for vehicles of higher levels of automated driving. This includes the aggregation of the information collected from vehicle sensors and the delivery of map updates with very precise context information

  • The availability requirements are set to medium equal to 99% due to the fact that the trajectory contains a lot of redundant information

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Summary

Introduction

Efficient support of cooperative and connected V2X applications is an important step towards the further improvement of advanced driver assistance systems (ADAS) and a key enabler for automated driving. These applications rely heavily on cooperation between vehicles and their interactions with other road users, infrastructure, and remote servers, in order to optimize the driving decision-making and improve the reliability. One objective of the project was to identify the use cases that are needed for advanced driving and their associated requirements, from the perspectives of both automotive applications and communication networks.

The Future Needs of Connected and Automated Driving
Lane Merge Coordination
Definition of KPIs
Lane Merge
Cooperative Perception Based on See-Through
Network Assisted Vulnerable Road User Protection
Remote Driving for Automated Parking
Relationship to 3GPP KPIs and the Role of 5GAA
Related Challenges and Existing Research Works
Findings
Conclusions
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