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ISO 26262 Autonomous Vehicle Safety Audit Checklist

A comprehensive checklist for auditing the safety of autonomous vehicle systems, aligning with ISO 26262 principles while addressing the unique challenges of self-driving technologies

ISO 26262 Autonomous Vehicle Safety Audit Checklist

by: audit-now
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About This Checklist

The ISO 26262 Autonomous Vehicle Safety Audit Checklist is an essential tool for ensuring the safety and reliability of autonomous driving systems in the automotive industry. This comprehensive checklist addresses the unique challenges presented by autonomous technologies within the framework of ISO 26262, while also considering emerging standards specific to autonomous vehicles. By systematically evaluating perception systems, decision-making algorithms, and fail-safe mechanisms, this checklist assists autonomous vehicle developers, safety engineers, and validation teams in identifying potential risks, ensuring robust system designs, and maintaining compliance with evolving safety standards. Implementing this checklist not only enhances the overall safety of autonomous vehicles but also contributes to public trust and regulatory acceptance of self-driving technologies.

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Industry

Automotive

Standard

ISO 26262 - Functional Safety for Road Vehicles

Workspaces

Testing Facilities
Laboratories
Testing Facilities
Automotive Development Centers

Occupations

Autonomous Vehicle System Developer
AI Safety Engineer
Autonomous Driving Validation Specialist
Functional Safety Manager for Self-Driving Systems
Regulatory Compliance Specialist for Autonomous Vehicles
1
Is the perception system compliant with ISO 26262 safety standards?
2
What is the accuracy percentage of the sensor fusion system?
Min: 0
Target: 90
Max: 100
3
Describe the fail-safe mechanisms implemented in the system.
4
Is the operational design domain validated?
5
Has the AI safety review been completed?
6
What is the performance rating of the decision-making algorithms?
7
How many incidents occurred during testing on the track?
Min: 0
Target: 0
Max: 100
8
When was the last safety review conducted?
9
Are emergency protocols readily available for the testing team?
10
Describe the test environment used during simulations.
11
Is the reliability status of the sensors confirmed?
12
What is the Mean Time Between Failures (MTBF) for the system?
Min: 0
Target: 1000
Max: 10000
13
Have the redundancy systems been verified for functionality?
14
Provide an analysis of potential failure modes identified in the system.
15
When was the last reliability testing conducted?
16
Is the vehicle compliant with all relevant regulatory standards?
17
Summarize the findings from the documentation review.
18
What is the score from the latest compliance audit?
Min: 0
Target: 85
Max: 100
19
When is the next scheduled compliance audit?
20
Has the training for compliance requirements been completed for all staff?
21
Is the latest risk assessment completed and documented?
22
How many risks were identified in the latest assessment?
Min: 0
Target: 5
Max: 100
23
Provide a summary of the mitigation strategies for identified risks.
24
When was the last risk management review conducted?
25
Has the emergency response plan been updated based on the latest risk assessment?

FAQs

This checklist extends ISO 26262 principles to address specific challenges of autonomous systems, including AI decision-making, sensor fusion, and complex operational design domains (ODDs) unique to self-driving vehicles.

The primary users are autonomous vehicle system developers, AI engineers, safety analysts, validation and verification specialists, and regulatory compliance managers working on self-driving car technologies.

The checklist covers perception system reliability, AI and machine learning safety, ethical decision-making algorithms, cybersecurity for autonomous systems, and safety of the operational design domain (ODD) definition and management.

It incorporates flexibility to accommodate emerging autonomous driving standards and best practices, while maintaining core safety principles from ISO 26262, ensuring relevance as the technology and regulatory landscape evolves.

This audit should be applied throughout the entire development lifecycle, from initial concept and system architecture design through to final road testing and post-deployment monitoring of autonomous vehicles.

Benefits of ISO 26262 Autonomous Vehicle Safety Audit Checklist

Ensures alignment of autonomous vehicle systems with ISO 26262 safety principles

Addresses unique safety considerations for self-driving technologies

Facilitates comprehensive risk assessment for autonomous driving scenarios

Enhances validation and verification processes for AI-driven vehicle systems

Supports the development of fail-safe and fault-tolerant autonomous architectures