Automotive Edge Cloud Applications

Price: Starting at USD 4,500
Publish Date: 09 Mar 2022
Code: AN-5162
Research Type: Research Report
Automotive Edge Cloud Applications
RELATED SERVICE: Smart Mobility & Automotive
Actionable Benefits

Actionable Benefits

  • Understand the key applications for edge cloud computing in the automotive industry.
  • Identify competing architectures for edge cloud applications, including powerful embedded compute.
  • Identify remaining barriers to cooperative mobility applications in edge cloud computing.
Critical Questions Answered

Critical Questions Answered

  • What are the unique applications for edge cloud computing in automotive?
  • Which current connected car applications can be expanded and improved through the adoption of network edge computing?
  • What alternative architectures are available to automakers for key edge cloud applications?
Research Highlights

Research Highlights

  • Overview of MEC capabilities and advantages for the connected car market.
  • Summary of key automotive edge cloud applications.
  • Automotive data consumption forecast.
Who Should Read This?

Who Should Read This?

  • Automotive product managers at mobile network operators and infrastructure suppliers.
  • Cooperative mobility product owners at OEMs and Tier 1 suppliers.
  • Strategic decision makers at connected traffic infrastructure suppliers.

Table of Contents

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. MULTI-ACCESS EDGE COMPUTING (MEC) INTRODUCTION

4. AUTOMOTIVE EDGE CLOUD TECHNOLOGY OVERVIEW

4.1. Current Connected Car Architectures
4.2. Automotive Edge Computing

5. KEY AUTOMOTIVE EDGE CLOUD APPLICATIONS

5.1. Cooperative Perception
5.2. HD and Fast Time to Reflect Reality Mapping
5.3. Vulnerable Road User Detection (VRU)
5.4. Sustainable Data Aggregation and Monetization
5.5. Compute Offload

6. AUTOMOTIVE EDGE CLOUD MARKET BARRIERS

6.1. Lack of Standards
6.2. Alternatives to Edge Cloud Computing

7. KEY AUTOMOTIVE EDGE CLOUD INDUSTRY BODIES

7.1. Automotive Edge Computing Consortium AECC
7.2. 5GAA