Vehicle Computing: Vision and challenges
Vehicle Computing: Vision and challenges
- 信息与智能学报（英文） 2023年1卷第1期
- 作者机构：
1. Department of Computer Science, Wayne State University,MI,USA,48202
2. Department of Computer and Information Sciences, University of Delaware,DE,USA,19716
- 作者简介：
- 基金信息：
DOI：10.1016/j.jiixd.2022.10.001
中图分类号：
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Sidi Lu, Weisong Shi. Vehicle Computing: Vision and challenges[J]. 信息与智能学报（英文）, 2023,1(1):23-35.
Vehicle Computing: Vision and challenges[J]. Journal of Information and Intelligence, 2023,1(1):23-35.
Sidi Lu, Weisong Shi. Vehicle Computing: Vision and challenges[J]. 信息与智能学报（英文）, 2023,1(1):23-35. DOI： 10.1016/j.jiixd.2022.10.001.
Vehicle Computing: Vision and challenges[J]. Journal of Information and Intelligence, 2023,1(1):23-35. DOI： 10.1016/j.jiixd.2022.10.001.
摘要
Vehicles have been majorly used for transportation in the last century. With the proliferation of onboard computing and communication capabilities, we envision that future connected vehicles (CVs) will be serving as a mobile computing platform in addition to their conventional transportation role for the next century. In this article, we present the vision of Vehicle Computing,i.e., CVs are the perfect computation platforms, and connected devices/things with limited computation capacities can rely on surrounding CVs to perform complex computational tasks. We also discuss Vehicle Computing from several aspects, including several case studies, key enabling technologies, a potential business model, a general computing framework, and open challenges.
Abstract
Vehicles have been majorly used for transportation in the last century. With the proliferation of onboard computing and communication capabilities, we envision that future connected vehicles (CVs) will be serving as a mobile computing platform in addition to their conventional transportation role for the next century. In this article, we present the vision of Vehicle Computing,i.e., CVs are the perfect computation platforms, and connected devices/things with limited computation capacities can rely on surrounding CVs to perform complex computational tasks. We also discuss Vehicle Computing from several aspects, including several case studies, key enabling technologies, a potential business model, a general computing framework, and open challenges.
关键词
Keywords
Vehicle ComputingConnected vehicleEdge computingAutonomous driving
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