驾驶员辅助系统的碰撞前控制策略

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neural Network World Pub Date : 2021-01-01 DOI:10.14311/NNW.2021.31.004

J. Kovanda, V. Rulc

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引用次数: 0

摘要

本文的目的是ADAS(高级驾驶员辅助系统)控制的优化过程。该方法基于根据不可避免事故的情况对ADAS系统进行分类。预期后果的评估使用损伤生物力学，它代表了HMI(人机交互)的扩展定义。损伤机制的评估和机器干预能够控制这一过程的目标，以尽量减少随之而来的伤害。然后，决策为控制过程提供了新的输入，以最小化后果为目标，丰富了系统的多参数控制。

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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Pre-crash control strategy of driver assistance system

: The aim of the article is the optimisation process of the ADAS (Ad-vanced Driver Assistance Systems) control. The methodology is based on the classiﬁcation of ADAS systems according to the situations of unavoidable accidents. The evaluation of expected consequences uses injury biomechanics, which represents the extended deﬁnition of HMI (Human-Machine Interaction). The evaluation of injury mechanism and the machine intervention enables to control this process with the target to minimise the consequent injuries. Then the decision making takes new inputs to the control process and it enriches the multiparametric control of the system with the target to minimise the consequences.

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来源期刊

Neural Network World 工程技术-计算机：人工智能

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of: brain science, theory and applications of neural networks (both artificial and natural), fuzzy-neural systems, methods and applications of evolutionary algorithms, methods of parallel and mass-parallel computing, problems of soft-computing, methods of artificial intelligence.