Název:	Pre-crash control strategy of driver assistance system
Autoři:	Kovanda, Jan Rulc, Vojtěch
Citace zdrojového dokumentu:	KOVANDA, J., RULC, V. Pre-crash control strategy of driver assistance system. Neural Network World, 2021, roč. 31, č. 1, s. 77-88. ISSN 1210-0552.
Datum vydání:	2021
Nakladatel:	Czech Technical University in Prague
Typ dokumentu:	článek article
URI:	2-s2.0-85111877584 http://hdl.handle.net/11025/44957
ISSN:	1210-0552
Klíčová slova v dalším jazyce:	ADAS (Advanced Driver Assistance System);classification;decisionmaking;multiparametric control;HMI (Human-Machine Interaction);BDBSA (Beyond-Design-Basis Safety Assessment
Abstrakt v dalším jazyce:	The aim of the article is the optimisation process of the ADAS (Advanced Driver Assistance Systems) control. The methodology is based on the classi-fication of ADAS systems according to the situations of unavoidable accidents. Theevaluation of expected consequences uses injury biomechanics, which represents theextended definition of HMI (Human-Machine Interaction). The evaluation of injury mechanism and the machine intervention enables to control this process withthe target to minimise the consequent injuries. Then the decision making takesnew inputs to the control process and it enriches the multiparametric control ofthe system with the target to minimise the consequences.
Práva:	© Czech Technical University in Prague
Vyskytuje se v kolekcích:	Články / Articles (RTI) OBD

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