Laser & Optoelectronics Progress, Volume. 60, Issue 5, 0500005(2023)

Development Trend of In-Vehicle Networks and Research Progress of In-Vehicle Optical Fiber Transmission

Weijie Sheng1, Jinyun Chen1, Yasi Wang1, Lin Sun1,2, Yi Cai1,2, Gangxiang Shen1,2, and Ning Liu1,2、*
Author Affiliations
  • 11 School of Electronic and Information Engineering, Soochow University, Suzhou 215006, Jiangsu, China
  • 2Key Laboratory of Suzhou Advanced Optical Communication Network Technologies, Suzhou 215006, Jiangsu, China
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    With the development of intelligent and connected vehicles, in-vehicle networks, as information sharing platforms between sensors, processors, and actuators in automobiles, are gradually moving in the direction of simplified architecture and higher bandwidth. In this paper, the bandwidth demand trend of in-vehicle network is analyzed through the introduction of the principle and bandwidth demand of several major new in-vehicle sensors on intelligent and connected vehicles. At the same time, based on the review of the network architecture and topologies of traditional in-vehicle networks, as well as the current progress of in-vehicle networks, we point out the bandwidth bottleneck faced by the in-vehicle networks under the trend of automotive intelligence, and optical fiber transmission is the development direction of future in-vehicle networks. Finally, through the analysis of the requirements of in-vehicle networks for optical fiber and the investigation of the latest research progress of plastic optical fiber transmission technology, the article shows that the in-vehicle optical fiber transmission is worthy of further research urgently.

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    Weijie Sheng, Jinyun Chen, Yasi Wang, Lin Sun, Yi Cai, Gangxiang Shen, Ning Liu. Development Trend of In-Vehicle Networks and Research Progress of In-Vehicle Optical Fiber Transmission[J]. Laser & Optoelectronics Progress, 2023, 60(5): 0500005

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    Paper Information

    Category: Reviews

    Received: Feb. 8, 2022

    Accepted: Mar. 17, 2022

    Published Online: Mar. 16, 2023

    The Author Email: Liu Ning (gordonnliu@suda.edu.cn)

    DOI:10.3788/LOP220669

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