Abstract

Recently, large amounts of data traffic from various sensors and image and navigation systems within vehicles are generated for autonomous driving. Broadband communication networks within vehicles have become necessary. New autonomous Ethernet networks are being considered as alternatives. The Ethernet-based in-vehicle network has been standardized in the IEEE 802.1 time-sensitive network (TSN) group since 2006. The Ethernet TSN will be revised and integrated into a subsequent version of IEEE 802.1Q-2018 published in 2018 when various new TSN-related standards are being newly revised and published. A TSN integrated environment simulator is developed in this paper to implement the main functions of the TSN standards that are being developed. This effort would minimize the performance gaps that can occur when the functions of these standards operate in an integrated environment. As part of this purpose, we analyzed the simulator to verify that the traffic for autonomous driving satisfies the TSN transmission requirements in the in-vehicle network (IVN) and the preemption (which is one of the main TSN functions) and reduces the overall End-to-End delay. An optimal guard band size for the preemption was also found for autonomous vehicles in our work. Finally, an IVN model for autonomous vehicles was designed and the performance test was conducted by configuring the traffic to be used for various sensors and electronic control units (ECUs).

Highlights

  • As autonomous vehicles are emerging, technologies including next-generation vehicle communication, vehicle to everything (V2X), and the advanced driving assistant system (ADAS), are advancing

  • It can be inferred that the proper spacing of the sensitive frame (ST), placement of the in-vehicle network (IVN) link, and setting of the guard band size in the preemption are important for IVN design for autonomous driving

  • time-sensitive network (TSN) through experiment, it was confirmed that TSNs satisfy the ST transmission requirements and the frame preemption required to compensate for the delay time caused by Audio Video Bridging (AVB) stream transmission interruptions

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Summary

Introduction

As autonomous vehicles are emerging, technologies including next-generation vehicle communication, vehicle to everything (V2X), and the advanced driving assistant system (ADAS), are advancing. As traffic for autonomous driving increases, the application of Ethernet communication technology to vehicles is underway This standardization work for autonomous vehicles has been going on since 2006 in the IEEE 802.1 TSN (time-sensitive network) [5]. Our contribution in this paper is the development of a TSN integrated environment simulator applying the main functions of the TSN standards such as IEEE 802.1AS, Qbv, Qcc, Qca, Qbu, and 802.3br that are in the early stage of standardization. Considering the upcoming revision of 802.1Q, in order to minimize the performance gaps that can occur when the functions of these standards operate in an integrated environment, we analyzed whether the traffic for autonomous driving satisfies the TSN transmission requirements in IVNs and whether the preemption function reduces the overall.

Background
Time-Aware
Frame Preemption
IVN Model Design
Configuring Parameter Value
Performance Test on TSN Integrated Environment
Conclusions
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