The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Intra-Vehicle Networks: A Review
Abstract
Automotive electronics is a rapidly expanding area with an increasing number of safety, driver assistance, and infotainment devices becoming standard in new vehicles. Current vehicles generally employ a number of different networking protocols to integrate these systems into the vehicle. The introduction of large numbers of sensors to provide driver assistance applications and the associated high-bandwidth requirements of these sensors have accelerated the demand for faster and more flexible network communication technologies within the vehicle. This paper presents a comprehensive overview of current research on advanced intra-vehicle networks and identifies outstanding research questions for the future.
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Cites
Network Calculus: A Theory of Deterministic Queuing Systems for the Internet
Boudec, J. L., & Thiran, P. (2001) · Cited by 1,593
Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., & Weil, T. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.061411.00019 · Cited by 1,529
Ethernet: distributed packet switching for local computer networks
Metcalfe, R. M., & Boggs, D. R. (1983) · Communications of the ACM · doi:10.1145/357980.358015 · Cited by 1,509
Rouf, I., Miller, R., Mustafa, H. A., Taylor, T. S., Oh, S.-H., Xu, W., Gruteser, M., Trappe, W. K., & Seskar, I. (2010) · USENIX Security Symposium · Cited by 388
Vehicular networks and the future of the mobile internet
Gerla, M., & Kleinrock, L. (2011) · Computer Networks · doi:10.1016/j.comnet.2010.10.015 · Cited by 290
The Time-Triggered Ethernet (TTE) Design
Kopetz, H., Ademaj, A., Grillinger, P., & Steinhammer, K. (2005) · Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05) · doi:10.1109/isorc.2005.56 · Cited by 275
Flexray - A communication network for automotive control systems
Makowitz, R., & Temple, C. (2006) · 2006 IEEE International Workshop on Factory Communication Systems · doi:10.1109/wfcs.2006.1704153 · Cited by 161
TTCAN: a new time-triggered controller area network
Leen, G., & Heffernan, D. (2002) · Microprocessors and Microsystems · doi:10.1016/s0141-9331(01)00148-x · Cited by 157
On-road prediction of driver's intent with multimodal sensory cues
Doshi, A., Morris, B. T., & Trivedi, M. M. (2011) · IEEE Pervasive Computing · doi:10.1109/mprv.2011.38 · Cited by 110
Self-citationDistance determination for an automobile environment using inverse perspective mapping in OpenCV
Tuohy, S., OCualain, D., Jones, E., & Glavin, M. (2010) · Irish Signals and Systems Conference · doi:10.1049/cp.2010.0495 · Cited by 106
Self-citation
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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
Kang, M.-J., & Kang, J.-W. (2016) · PLOS ONE · doi:10.1371/journal.pone.0155781 · Cited by 678
Siegel, J. E., Erb, D. C., & Sarma, S. E. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2749459 · Cited by 455
A Survey of Intrusion Detection for In-Vehicle Networks
Wu, W., Li, R., Xie, G., An, J., Bai, Y., Zhou, J., & Li, K. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2908074 · Cited by 394
Overview of Environment Perception for Intelligent Vehicles
Zhu, H., Yuen, K.-V., Mihaylova, L., & Leung, H. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2658662 · Cited by 386
Securing Vehicle-to-Everything (V2X) Communication Platforms
Hasan, M., Mohan, S., Shimizu, T., & Lu, H. (2020) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2020.2987430 · Cited by 275
Metadata
- Authors
- Tuohy, S., Glavin, M., Hughes, C., Jones, E., Trivedi, M., & Kilmartin, L.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2015-04
- Volume
- 16
- Issue
- 2
- Pages
- 534-545
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2037777662
- Cited by
- 314
- References
- 22
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tuohy, S., Glavin, M., Hughes, C., Jones, E., Trivedi, M., & Kilmartin, L. (2015). Intra-Vehicle Networks: A Review. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2014.2320605
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