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BSI PD ISO/TR 4804:2020 2021

BSI PD ISO/TR 4804:2020 2021

$215.11

Road vehicles. Safety and cybersecurity for automated driving systems. Design, verification and validation

Published By Publication Date Number of Pages
BSI 2021 120
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This document describes steps for developing and validating automated driving systems based on basic safety principles derived from worldwide applicable publications. It considers safety- and cybersecurity-by-design, as well as verification and validation methods for automated driving systems focused on vehicles with level 3 and level 4 features according to SAE J3016:2018. In addition, it outlines cybersecurity considerations intersecting with objectives for safety of automated driving systems.

PDF Catalog

PDF Pages PDF Title
2 undefined
7 Foreword
8 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
19 4 General approach and overview
4.1 Introduction and motivation
4.2 Overview of this document
20 4.3 Structure and development examples used in this document
21 4.4 Safety vision
4.4.1 Background
22 4.4.2 Positive risk balance and avoidance of unreasonable risk
4.4.3 Principles of safety and cybersecurity for automated driving
25 5 Systematically developing dependability to support safety by design
5.1 General
26 5.2 Deriving capabilities of automated driving from dependability domains
5.2.1 Applying the related safety standards
27 5.2.2 ISO/PAS 21448 – Safety of the intended functionality
5.2.3 ISO 26262 series – Functional safety
28 5.2.4 ISO/SAE 21434 – Automotive cybersecurity
29 5.2.5 Capabilities of automated driving
33 5.2.6 Minimal risk conditions and minimal risk manoeuvres
35 5.3 Elements for implementing the capabilities
5.3.1 Implementing the capabilities
41 5.3.2 Elements
53 5.3.3 Generic logical architecture
56 6 Verification and validation
6.1 General
57 6.2 The scope and main steps of verification and validation for automated driving systems
58 6.3 Key challenges for verification and validation of SAE L3 and SAE L4 automated driving systems
59 6.3.1 Challenge 1: Statistical demonstration of avoidance of unreasonable risk and a positive risk balance without driver interaction
6.3.2 Challenge 2: System safety with driver interaction (especially in takeover manoeuvres)
6.3.3 Challenge 3: Consideration of scenarios currently not known
6.3.4 Challenge 4: Validation of various system configurations and variants
6.3.5 Challenge 5: Validation of (sub)systems that are based on machine learning
6.4 Verification and validation approach for automated driving systems
60 6.4.1 Defining test goals and objectives (why and how well)
6.4.2 Test design techniques (how)
61 6.4.3 Test platforms (where)
6.4.4 Test strategies in response to the key challenges
65 6.5 Quantity and quality of testing
66 6.5.1 Equivalence classes and scenario-based testing
6.6 Simulation
68 6.6.1 Types of simulation
69 6.6.2 Simulation scenario generation
6.6.3 Validating simulation
70 6.6.4 Further applications of simulation
6.7 Verification and validation of elements
71 6.7.1 A-priori information and perception (map)
6.7.2 Localization (including GNSS)
72 6.7.3 Environment perception sensors, V2X and sensor fusion
6.7.4 Interpretation and prediction, drive planning and traffic rules
73 6.7.5 Motion control
6.7.6 Monitor, ADS mode manager (including the vehicle state)
6.7.7 Human machine interaction and user state monitor
6.8 Field operation (monitoring, configuration, updates)
6.8.1 Testing traceability
74 6.8.2 Robust configuration and change management process
75 6.8.3 Regression prevention
6.8.4 Cybersecurity monitoring and updates
6.8.5 Continuous monitoring and corrective enforcement
77 Annex A (informative) Development examples
88 Annex B (informative) Using deep neural networks to implement safety-related elements for automated driving systems
100 Annex C (informative) Principles of safety and cybersecurity for automated driving
103 Annex D (informative) List of proposed standards
115 Bibliography

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BSI PD ISO/TR 4804:2020 2021
$215.11