PRE-CRASH CONTROL STRATEGY OF DRIVER ASSISTANCE SYSTEM

被引：3
|
作者：
Kovanda, J. [1 ]
Rulc, V [2 ]
机构：
[1] Univ West Bohemia, Fac Mech Engn, Reg Technol Inst, Univ 8, Plzen 30614, Czech Republic
[2] Czech Tech Univ, Fac Transportat Sci, Konviktska 20, Prague 11000 1, Czech Republic
来源：
NEURAL NETWORK WORLD | 2021年 / 31卷 / 01期
关键词：
ADAS (Advanced Driver Assistance System); classification; decision making; multiparametric control; HMI (Human-Machine Interaction); BDBSA (Beyond-Design-Basis Safety Assessment);
D O I：
10.14311/NNW.2021.31.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of the article is the optimisation process of the ADAS (Advanced 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.
引用
收藏
页码：77 / 88
页数：12
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