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http://dx.doi.org/10.3837/tiis.2021.08.018

Real-time Camera and Video Streaming Through Optimized Settings of Ethernet AVB in Vehicle Network System  

An, Byoungman (Electronic and Electrical Engineerin, Dankook University)
Kim, Youngseop (Electronic and Electrical Engineerin, Dankook University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.8, 2021 , pp. 3025-3047 More about this Journal
Abstract
This paper presents the latest Ethernet standardization of in-vehicle network and the future trends of automotive Ethernet technology. The proposed system provides design and optimization algorithms for automotive networking technology related to AVB (Audio Video Bridge) technology. We present a design of in-vehicle network system as well as the optimization of AVB for automotive. A proposal of Reduced Latency of Machine to Machine (RLMM) plays an outstanding role in reducing the latency among devices. RLMM's approach to real-world experimental cases indicates a reduction in latency of around 41.2%. The setup optimized for the automotive network environment is expected to significantly reduce the time in the development and design process. The results obtained in the study of image transmission latency are trustworthy because average values were collected over a long period of time. It is necessary to analyze a latency between multimedia devices within limited time which will be of considerable benefit to the industry. Furthermore, the proposed reliable camera and video streaming through optimized AVB device settings would provide a high level of support in the real-time comprehension and analysis of images with AI (Artificial Intelligence) algorithms in autonomous driving.
Keywords
Audio Video Bridge; AVB; Video Streaming; Autonomous; In-vehicle Network;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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