Ways of development of models of driving automation systems for vehicles and vehicle-environment-driver biotechnical complexes

N. T. Katanaev, A. E. Chebyshev, A. F. Kolbasov
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Abstract

Introduction (problem statement and relevance). At present, great attention is paid to solving the issues and problems of creation of driving automation systems for vehicles or vehicle automated driving systems (ADS). Their successful solution depends on many factors, such as: economic, organizational, production, design and technological ones, etc.The purpose of the study is to analyze some of the key factors influencing the reliability of vehicleenvironment-driver human-machine system models, which are the instrumental basis for vehicle ADS designing. Methodology and research methods. The article considers the history of development of models of vehicle-environment-driver human-machine systems over the last half-century period with a focus on domestic (Russian) research and studies in this field.Results. It reveals the features of mathematical descriptions in systems of automated driving and control of objects with artificial intelligence, in professionally oriented biotechnical complexes to efficiently and effectively solve tasks of mutual adaptation of human-machine systems, in vehicle end-to-end design, etc. Practical significance. The list of issues and problems arising when describing mathematically the research objects is presented, and recommendations to solve them are offered.
车辆和车辆-环境-驾驶员生物技术综合体的自动驾驶系统模型的开发方法
导言(问题陈述和相关性)。目前,人们非常关注如何解决创建车辆自动驾驶系统(ADS)的问题。研究的目的是分析影响车辆-环境-驾驶员人机系统模型可靠性的一些关键因素,这些模型是车辆自动驾驶系统设计的工具基础。研究方法。文章回顾了过去半个世纪以来车辆-环境-驾驶员人机系统模型的发展历程,重点介绍了国内(俄罗斯)在这一领域的研究成果。研究结果揭示了人工智能自动驾驶和物体控制系统、高效解决人机系统相互适应任务的专业生物技术综合体、车辆端到端设计等方面的数学描述特点。实际意义。本文列出了在对研究对象进行数学描述时出现的问题清单,并提出了解决这些问题的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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