Thesis Details
Analýza rizik spojených se samočinně řízenými vozidly
The goal of this thesis was to design and implement system for risk analysis in self-driving cars. This thesis focused on design and implementation of system for risk analysis in models. One of the requirements for the system was to be flexible and robust. Design of the risk analysis was presented at theoretical level and then implemented in models of ABS and ESP systems in UPPAAL environment. The system was then tested via multiple experiments. The experiments were beneficial and the system for risk analysis correctly evaluated failure scenarios with adequate response to the rising level of risk. Experiment outputs were then presented at graphs with comment to each failure scenario.
risk analysis, self-driving cars, self-driving, system, modeling, computer, ABS, ESP, risk, cars, car, UPPAAL, model, component, sensor, failure, failure scenario, parking, risk assessment, probability, fault, SIMLIB, Dymola, Modelica, probabilistic risk assessment, redundant, redundancy, simulation, simulating, risk analysis design, risk analysis implementation
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT24321,
author = "Filip Weigel",
type = "Master's thesis",
title = "Anal\'{y}za rizik spojen\'{y}ch se samo\v{c}inn\v{e} \v{r}\'{i}zen\'{y}mi vozidly",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2022,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/24321/"
}