Title:	Pre-crash control strategy of driver assistance system
Authors:	Kovanda, Jan Rulc, Vojtěch
Citation:	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.
Issue Date:	2021
Publisher:	Czech Technical University in Prague
Document type:	článek article
URI:	2-s2.0-85111877584 http://hdl.handle.net/11025/44957
ISSN:	1210-0552
Keywords in different language:	ADAS (Advanced Driver Assistance System);classification;decisionmaking;multiparametric control;HMI (Human-Machine Interaction);BDBSA (Beyond-Design-Basis Safety Assessment
Abstract in different language:	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.
Rights:	© Czech Technical University in Prague
Appears in Collections:	Články / Articles (RTI) OBD

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.