Edge Computing for Autonomous Driving: Opportunities and Challenges
Wayne State University · South China University of Technology · +2 more institutions
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
- FWCI
- 29.39
- Percentile
- 100%
- References
- 133
Authors
6Topics & keywords
- Computer science
- Edge computing
- Cloud computing
- Redundancy (engineering)
- Energy consumption
- Distributed computing
- Enhanced Data Rates for GSM Evolution
- Computer security
- Affordable and clean energy