Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges

被引：178

作者：

Yaqoob, Ibrar ^{[1
]}

Khan, Latif U. ^{[2
]}

Kazmi, S. M. Ahsan ^{[2
,3
]}

Imran, Muhammad ^{[2
,4
]}

Guizani, Nadra ^{[2
,5
]}

Hong, Choong Seon ^{[1
]}

机构：

[1] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul, South Korea

[2] Kyung Hee Univ, Seoul, South Korea

[3] Innopolis Univ, Inst Informat Syst, Innopolis, Tatarstan, Russia

[4] King Saud Univ, Riyadh, Saudi Arabia

[5] Purdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

IEEE NETWORK | 2020年 / 34卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

Autonomous automobiles; Autonomous vehicles; Cameras; Accidents; Sensors; LOCALIZATION; EDGE;

D O I：

10.1109/MNET.2019.1900120

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An unprecedented proliferation of autonomous driving technologies has been observed in recent years, resulting in the emergence of reliable and safe transportation services. In the foreseeable future, millions of autonomous cars will communicate with each other and become prevalent in smart cities. Thus, scalable, robust, secure, fault-tolerant, and interoperable technologies are required to support such a plethora of autonomous cars. In this article, we investigate, highlight, and report premier research advances made in autonomous driving by devising a taxonomy. A few indispensable requirements for successful deployment of autonomous cars are enumerated and discussed. Furthermore, we discover and present recent synergies and prominent case studies on autonomous driving. Finally, several imperative open research challenges are identified and discussed as future research directions.

引用

页码：174 / 181

页数：8

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