Architecture and System Safety Requirements for Automated Driving

2015 ◽  
pp. 37-48 ◽  
Author(s):  
Jan Becker ◽  
Michael Helmle
Keyword(s):  
Automated Driving ◽  
System Safety ◽  
Safety Requirements

Deriving Safety-Related Scenarios to Support Architecture Evaluation

2011 ◽  
pp. 31-54 ◽  
Author(s):  
Dingding Lu ◽  
Robyn R. Lutz ◽  
Carl K. Chang
Keyword(s):  
System Development ◽  
Hazard Analysis ◽  
Unified Modeling Language ◽  
Use Cases ◽  
System Safety ◽  
System Decomposition ◽  
Unified Modeling ◽  
Safety Requirements ◽  
Analysis Process ◽  
Architectural Evaluation

This chapter introduces an analysis process that combines the different perspectives of system decomposition with hazard analysis methods to identify the safety-related use cases and scenarios. It argues that the derived safety-related use cases and scenarios, which are the detailed instantiations of system safety requirements, serve as input to future software architectural evaluation. Furthermore, by modeling the derived safety-related use cases and scenarios into UML (Unified Modeling Language) diagrams, the authors hope that visualization of system safety requirements will not only help to enrich the knowledge of system behaviors but also provide a reusable asset to support system development and evolution.

scholarly journals Approach to Define the Reliability of Safety-Related Machine Learning Based Functions in Highly Automated Driving

2021 ◽  
Author(s):  
Pengyu Si ◽  
Ossmane Krini ◽  
Nadine Müller ◽  
Aymen Ouertani
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Pedestrian Detection ◽  
Quality Criteria ◽  
Automated Driving ◽  
Safety Requirements ◽  
Functional Reliability ◽  
Current Standards ◽  
Highly Automated Driving

Current standards cannot cover the safety requirements of machine learning based functions used in highly automated driving. Because of the opacity of neural networks, some self-driving functions cannot be developed following the V-model. These functions require the expansion of the standards. This paper focuses on this gap and defines functional reliability for such functions to help the future standards control the quality of machine learning based functions. As an example, reliability functions for pedestrian detection are built. Since the quality criteria in computer vision do not consider safety, new approaches for expression and evaluation of this reliability are designed.

scholarly journals Automated Driving System Safety Measurement Part I: Operating Envelope Specification

2021 ◽  
Author(s):  
Edward Griffor ◽  
David Wollman ◽  
Christopher Greer
Keyword(s):  
Automated Driving ◽  
System Safety ◽  
Driving System

scholarly journals System Architecture and Safety Requirements for Automated Driving

2016 ◽  
pp. 265-283 ◽  
Author(s):  
Jan Becker ◽  
Michael Helmle ◽  
Oliver Pink
Keyword(s):  
System Architecture ◽  
Automated Driving ◽  
Safety Requirements

HMI Design when Using Level 2 Automated Driving Function - Effects of System Status Presentation Considering the Risk of Malfunction on Driver Behavior –

2020 ◽  
Vol 32 (3) ◽  
pp. 520-529
Author(s):  
Keisuke Suzuki ◽  
◽  
Joohyeong Lee ◽  
Atsushi Kanbe
Keyword(s):  
Traffic Accidents ◽  
State Transition ◽  
Driving Simulator ◽  
Driver Behavior ◽  
Automated Driving ◽  
System Safety ◽  
Safety Level ◽  
Simulator Study ◽  
Level 2 ◽  
Integrated Error

This study examined the effect of system status presentation on driver behavior when driving with ACC and LKA, which are classified as level 2 automated driving. First, we analyzed the driving behavior of 40 test participants in a driving simulator study under three HMI conditions: without safety level, correct safety level, and incorrect safety level which does not work properly and becomes inactive. The driver behavior database constructed in this experiment, was used to quantify the accident avoidance probability under each HMI condition using the state transition probabilistic model proposed by the author in a previous study. Finally, we quantified the degree of reduction in the probability of accident occurrence when using this HMI device in consideration of the risk of malfunction based on the integrated error model proposed by the author. Based on these results, it was shown that the HMI device that acts as a real-time interface at the system safety level between the driver and the automated driving using ACC and LKA is effective in reducing traffic accidents regardless of the increased probability of traffic accidents due to malfunctions of HMI device.

J1220102 Analyzing Safety Requirements for Automated Driving System of Vehicles Using Assurance Case

2015 ◽  
Vol 2015 (0) ◽  
pp. _J1220102--_J1220102-
Author(s):  
Satoko Kinoshita ◽  
Sunkil Yun ◽  
Noriyasu Kitamura ◽  
Kensuke Kawai ◽  
Motoki Harayama ◽  
...  
Keyword(s):  
Automated Driving ◽  
Driving System ◽  
Safety Requirements ◽  
Assurance Case
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