ABSTRACT
As 5G and MEC technology become increasingly prevalent, Autonomous driving vehicles is probably one of the most highly anticipated things nowadays. This article begins with the background information on the Internet of Things (IoT), 5G networking, Mobile Edge Computation (MEC), and the methods that autonomous driving vehicle could use those technologies above. Comparing to the auto-driving system in the past (on-board electronics focused), current auto-driving vehicles will have better connectivity. Some of control theories and machine learning strategies will be discussed in detail in this article. In discussion part of the article, some predictions were made according to the future roles that autonomous car could play in the future "Smart City" eco-system. Based on the functionality that 5G networks and MEC devices could provide, autonomous driving vehicles would be more reliable than human drivers. However, they will not replace gasoline cars very soon. This article reviews the control theories and machine learning algorithm for autonomous driving system and it is expected to provide some suggestions for the future trend of this technology.
- Industrial IoT. [Electronic Resource]: Challenges, Design Principles, Applications, and Security. Springer, 2020. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=cat00006a&AN=melb.b7577613&site=eds-live&scope=site.Google Scholar
- Marinescu, Dan C. Cloud Computing: Theory and Practice. Second edition., Morgan Kaufmann Publishers, an imprint of Elsevier, 2018. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=cat00006a&AN=melb.b7606938&site=eds-live&scope=site.Google Scholar
- Park, C., and J. Lee. “Mobile Edge Computing-Enabled Heterogeneous Networks.” IEEE Transactions on Wireless Communications, Wireless Communications, IEEE Transactions on, IEEE Trans. Wireless Commun, vol. 20, no. 2, Feb. 2021, pp. 1038-1051. EBSCOhost, doi:10.1109/TWC.2020.3030178.Google ScholarDigital Library
- Maurer, Markus, Autonomous Driving: Technical, Legal and Social Aspects. Springer OPen, 2016. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=cat00006a&AN=melb.b7625459&site=eds-live&scope=site.Google Scholar
- Vanderbilt, Tom. Autonomous Cars through the Ages. 27 June 2018, www.wired.com/2012/02/autonomous-vehicle-history/.Google Scholar
- Ryan, Mark. “The Future of Transportation: Ethical, Legal, Social and Economic Impacts of Self-Driving Vehicles in the Year 2025.” SCIENCE AND ENGINEERING ETHICS, vol. 26, no. 3, June 2020, pp. 1185–1208. EBSCOhost, doi:10.1007/s11948-019-00130-2.Google ScholarCross Ref
- Rawashdeh, Zaydoun Yahya, and Zheng Wang. “Collaborative Automated Driving: A Machine Learning-Based Method to Enhance the Accuracy of Shared Information.” 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Intelligent Transportation Systems (ITSC), 2018 21st International Conference On, Nov. 2018, pp. 3961–3966. EBSCOhost, doi:10.1109/ITSC.2018.8569832.Google ScholarDigital Library
- Eubank, Randall L. A Kalman Filter Primer. [Electronic Resource]. Chapman & Hall/CRC, 2006. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=cat00006a&AN=melb.b7389967&site=eds-live&scope=site.Google Scholar
- McClellan, Stan, Smart Cities: Applications, Technologies, Standards, and Driving Factors. Springer, 2018. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=cat00006a&AN=melb.b7183458&site=eds-live&scope=site.Google Scholar
Index Terms
- Smart Application of 5G Mobile Edge Computing with IoT: Future Insight of Autonomous Driving Technologies
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