Abstract
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.
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CITATION STYLE
Kovanda, J., & Rulc, V. (2021). Pre-Crash Control Strategy of Driver Assistance System. Neural Network World, 31(1), 77–88. https://doi.org/10.14311/NNW.2021.31.004
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