Intra-Vehicle Networks: A Review

By Shane Tuohy, Martin Glavin, Ciarán Hughes, Edward Jones, Mohan Manubhai Trivedi, L. Kilmartin. IEEE transactions on intelligent transportation systems (Print), 2015

318 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/51b27511bda027729854ee784f11aafdc116907b

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In Automotive Engineering

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Citations in the corpus

Industrial Communication Systems and Their Future Challenges: Next-Generation Ethernet, IIoT, and 5G (2019, background): “As a result, the traditional communication solutions, such as those represented by CAN [80] and FlexRay, are becoming unable to satisfy the new requirements and need to be replaced [193].”
A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas (2017, background): “Supporting network technologies including CAN, LIN, MOST, and FlexRay are well documented [8], [31]–[33] and provide fault tolerance, determinism, and flexibility.”
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security (2016, background): “More recently, automotive networking services such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) require computing devices to perform intra-vehicular communication [2] and inter-vehicular communication [3, 4].”
A Survey of Intrusion Detection for In-Vehicle Networks (2020, background): “INCREASING numbers of electronic control units (ECUs) and external communication interfaces have been assembled inside automobiles to provide intelligent services and safety to users [1].”
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems (2018, methodology): “ng to address spooﬁng and denial of service attacks. Finally, an overview of current research on advanced intra-vehicle networks and the smart components of ITS and their applications is presented in [16]. However, the architecture and solutions in [8]–[16] do not take into account the interdependen”
Overview of Environment Perception for Intelligent Vehicles (2017, methodology): “It is a serial bus communication protocol developed by Bosch in the early 80s [4], [6].”