Using data from multiplex networks on vehicles in road tests, in intelligent transportation systems, and in self-driving cars

Author:

Shadrin S. S.,Ivanov A. M.,Karpukhin K. E.

Publisher

Allerton Press

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference13 articles.

1. GOST (State Standard) R 52051.2003: Power-Driven Vehicles and Trailers. Classification and Definitions, Moscow: Standartinform, 2006.

2. Shadrin, S.S. and Ivanov, A.M., The possibility of use of on-board vehicle data networks in intelligent transport systems, Avtotransp. Predpriyatie, 2014, no. 5, pp. 43–46.

3. SAE Standard J1939-71: Surface Vehicle Recommended Practice. Vehicle Application Layer, Warrendale, PA: Soc. Autom. Eng., 2006, vol. 6.

4. FMS-Standard Working Group, FMS-Standard. Interface Description. Vers. 02.00, 2010.

5. Ivanov, A.M. and Shadrin, S.S., Selection of the key technologies of the system operation of inter-object communication system of intelligent vehicles during driving on motorways, Vestn. Mosk. Avtom.-Dorozhn. Gos. Tekh. Univ., 2013, no. 1 (32), pp. 7–13.

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Studying the Capabilities of Neural Networks for Adaptive Driver Assistance Systems;2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED);2023-11-15

2. Automatic Shortest Path Planning Method for Driverless Vehicles Based on Improved Ant Colony Algorithm;2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture;2021-10-23

3. Test Methods and Equipment for Assessment of Passenger Compartment Environmental Parameters of Modern and Advanced Driverless Vehicles;IOP Conference Series: Materials Science and Engineering;2020-04-01

4. Global trends in the development of monitoring systems for mobile agricultural equipment;E3S Web of Conferences;2020

5. Additive Technology in Optimal Synthesis of Individual Vehicle Components and Mechanisms;Russian Engineering Research;2019-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3