TY - JOUR
T1 - Autonomous Driving Cars in Smart Cities
T2 - Recent Advances, Requirements, and Challenges
AU - Yaqoob, Ibrar
AU - Khan, Latif U.
AU - Kazmi, S. M.Ahsan
AU - Imran, Muhammad
AU - Guizani, Nadra
AU - Hong, Choong Seon
N1 - Funding Information:
AcknoWLedgments This work was partially supported by an Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing), and by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2017R1A2A2A05000995). Dr. CS Hong is the corresponding author.
Funding Information:
LatIf U. Khan is pursuing his Ph.D. degree in computer engineering at Kyung Hee University (KHU), South Korea. He is working as a leading researcher in the Intelligent Networking Laboratory under a project jointly funded by the prestigious Brain Korea 21st Century Plus and Ministry of Science and ICT, South Korea. He received his MS (electrical engineering) degree with distinction from the University of Engineering and Technology (UET), Peshawar, Pakistan in 2017. His research interests include analytical techniques of optimization and game theory to edge computing and end-to-end network slicing.
Funding Information:
This work was partially supported by an Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing), and by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF- 2017R1A2A2A05000995). Dr. CS Hong is the corresponding author.
Publisher Copyright:
© 2019 IEEE.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85079051547&partnerID=8YFLogxK
U2 - 10.1109/MNET.2019.1900120
DO - 10.1109/MNET.2019.1900120
M3 - Article
AN - SCOPUS:85079051547
SN - 0890-8044
VL - 34
SP - 174
EP - 181
JO - IEEE Network
JF - IEEE Network
IS - 1
M1 - 8809568
ER -
