articleProceedings of the IEEEJun 25, 2019Closed access

Edge Computing for Autonomous Driving: Opportunities and Challenges

Wayne State University · South China University of Technology · +2 more institutions

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Abstract

Safety is the most important requirement for autonomous vehicles; hence, the ultimate challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver enough computing power, redundancy, and security so as to guarantee the safety of autonomous vehicles. Specifically, autonomous driving systems are extremely complex; they tightly integrate many technologies, including sensing, localization, perception, decision making, as well as the smooth interactions with cloud platforms for high-definition (HD) map generation and data storage. These complexities impose numerous challenges for the design of autonomous driving edge computing systems. First, edge computing systems for autonomous driving…

Citation impact

738
total citations
FWCI
29.39
Percentile
100%
References
133
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Edge computing
  • Cloud computing
  • Redundancy (engineering)
  • Energy consumption
  • Distributed computing
  • Enhanced Data Rates for GSM Evolution
  • Computer security
UN Sustainable Development Goals
  • Affordable and clean energy
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