The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges
Abstract
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.
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Citations
Cites
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2749181 · Cited by 885
Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., Mccullough, F., & Mouzakitis, A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2812300 · Cited by 801
Autonomous Cars: Research Results, Issues, and Future Challenges
Hussain, R., & Zeadally, S. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2869360 · Cited by 631
Networking and Communications in Autonomous Driving: A Survey
Wang, J., Liu, J., & Kato, N. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2888904 · Cited by 536
Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and Challenges
Khelifi, H., Luo, S., Nour, B., Moungla, H., Faheem, Y., Hussain, R., & Ksentini, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2894816 · Cited by 346
Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution
Yuan, Q., Zhou, H., Li, J., Liu, Z., Yang, F., & Shen, X. S. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700105 · Cited by 248
CORMAN: A Novel Cooperative Opportunistic Routing Scheme in Mobile Ad Hoc Networks
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M2M Communications in 5G: State-of-the-Art Architecture, Recent Advances, and Research Challenges
Mehmood, Y., Haider, N., Imran, M., Timm-Giel, A., & Guizani, M. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600559 · Cited by 115
Self-citationReliable and efficient autonomous driving: the need for heterogeneous vehicular networks
Zheng, K., Zheng, Q., Yang, H., Zhao, L., Hou, L., & Chatzimisios, P. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7355569 · Cited by 114
Bringing Deep Learning at the Edge of Information-Centric Internet of Things
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Cited by
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
Khan, L. U., Saad, W., Han, Z., Hossain, E., & Hong, C. S. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3090430 · Cited by 892
Self-citationA Review on Autonomous Vehicles: Progress, Methods and Challenges
Parekh, D., Poddar, N., Rajpurkar, A., Chahal, M., Kumar, N., Joshi, G. P., & Cho, W. (2022) · Electronics · doi:10.3390/electronics11142162 · Cited by 517
Deng, X., Yin, J., Guan, P., Xiong, N. N., Zhang, L., & Mumtaz, S. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3123406 · Cited by 267
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Wang, S., Li, C., Ng, D. W. K., Eldar, Y. C., Poor, H. V., Hao, Q., & Xu, C. (2023) · IEEE Network · doi:10.1109/mnet.104.2100403 · Cited by 83
Time to audit your AI algorithms
Sandu, I., Wiersma, M., & Manichand, D. (2022) · Maandblad voor Accountancy en Bedrijfseconomie · doi:10.5117/mab.96.90108 · Cited by 12
Metadata
- Authors
- Yaqoob, I., Khan, L. U., Kazmi, S. M. A., Imran, M., Guizani, N., & Hong, C. S.
- Venue
- IEEE Network
- Published
- 2020-01
- Volume
- 34
- Issue
- 1
- Pages
- 174-181
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W2969284583
- Cited by
- 299
- References
- 13
- FWCI
- 9.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yaqoob, I., Khan, L. U., Kazmi, S. M. A., Imran, M., Guizani, N., & Hong, C. S. (2020). Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges. IEEE Network. https://doi.org/10.1109/mnet.2019.1900120
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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