CERTUS: An Automated AD/ADAS V&V Toolchain Video Presentation

This video presentation by Alejandro Trueba and Michael Orgill of HORIBA MIRA, introduces CERTUS, a toolchain designed for the verification and validation (V&V) of automated driving (AD) and advanced driver-assistance systems (ADAS). The toolchain aims to deliver efficient V&V through intelligent scenario generation, analysis, and reporting.

Key Points Covered:

Introduction to V&V Workflow:

• Phases of V&V: Strategy, Scenario Definition, Test Planning, Test Execution, and Test Analysis.
• Importance of defining, sampling, testing, assessing, analysing, and arguing scenarios.

Logical Scenario Example:

• Differentiation between functional, logical, and concrete scenarios.
• Example scenario: Car-to-Pedestrian Farside Adult 50%.

Orders of Magnitude:

• Scope and coverage comparisons for different testing approaches (NCAP, Best Effort, Full Factorial).

Project Objective:

• Efficient V&V through targeted scenario generation.
• Addressing key questions: What to test, how to test, and when to stop.

CERTUS Features:

• Analysis of Operational Design Domain (ODD) and deployment areas.
• Use of metrics and oracles for performance risk quantification.
• Search space optimization and scenario space sampling.

Battleship Analogy:

• Illustration of problem space, stop criteria, feedback process, and decision-making in V&V.

Detailed Process:

• Defining ODD, initial sampling, test generation, execution, and assessment.
• Use of mixed reality tests and statistical methods for risk quantification.

Standards and Risk Quantification:

• Reference to ISO 21448 SOTIF.
• Importance of defining, modelling, and strategizing for residual risk assessment.

Core Innovations:

• Intelligent scenario selection based on parameter sensitivity.
• Mixed reality test environment.
• Use of applied statistics for safety case justification.

Ahead of the Simulation, Testing & Validation for Automated Driving conference, Automotive IQ held a pre-event video panel discussion on making the transition to higher levels of autonomy, focusing on both virtual and physical testing, simulation, sensing technologies & cybersecurity considerations for level 2, 3, level 4 and beyond.

Panelists: 

• Alejandro Trueba Senior Engineer - Connected and Autonomous Vehicles HORIBA MIRA
• Michael Orgill Project Engineer - Connected & Autonomous Vehicles HORIBA MIRA
• Hemanth Tadepalli Cybersecurity Compliance Engineer May Mobility
• Barrie Kirk President CAVI
  

The key questions that were answered in the discussion:

• How do different stakeholders view the future of automated driving systems?
• What are the major challenges on the road ahead as the industry makes the jump from level 3 to level 4 and beyond?
• What measures can be taken to protect automated driving systems from cyber-attacks, and how does this differ for level 2 vs level 4 autonomy?
• How are advancements in sensing technologies impacting the security considerations for higher levels of autonomy?
• How does physical testing for higher levels of autonomy fit in with the current automated driving landscape?
• What measures are being put in place to ensure the safety and security of these vehicles, and how are they being considered from a physical testing point of view?
• How will the virtual testing & simulation process incorporate future safety and cyber risks?
  

Please use this 'Convince Your Manager' letter template to help secure approval to attend Simulation, Testing & Validation for Automated Driving 2024 from your line manager. 

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How to Simulate Perception Systems to Reduce Physical Testing Effort: Leadership Insights from Ahmed Yousif, Simulation Product Owner, Valeo

Ahead of the Simulation, Testing & Validation for Automated Driving 2024 conference, Automotive IQ spoke with Ahmed Yousif, Simulation Product Owner at Valeo to learn more on the major challenges for automated driving, focusing on simulation, testing, validation, and homologation, as well as the differences between L2, L2+ and L3 of autonomy.

In this leadership insights piece, Ahmed presents and discusses:

- How simulation differs between the levels of autonomy

- Perception simulation testing of all sensor technology

- How simulating perception systems can reduce the physical testing effort for automated driving systems

- How simulation can be used to address corner cases in perception

- How perception simulation can help to expand the operational design domain towards L3 functionality

- How ADAS testing differs for Tier-1s and OEMs

Get your copy of this insightful article by event speaker, Alejandro Morate, Director - Autonomous Drive, Zeekr Technology Europe, written exclusively for Automotive IQ. 

"As Director of Autonomous Drive at Zeekr Technology Europe, I’m thrilled to share insights into our strategies and practices concerning the simulation, testing, and validation of automated driving systems, particularly focusing on L2, L2+, and L3 functionalities, along with our innovative approach to scenario based testing. This article explains the differences between L2/L3 automation, uncovering the pivotal role of responsibility allocated between the driver and ADAS systems.

Moreover, this article addresses the challenges faced by OEMs in deploying these features, as well as how we are using simulation tools to optimise the development process, enabling enhanced safety, reduced costs, and maximised performance. Discover Zeekr Technology’s innovative approach to scenario-based testing, ensuring the robustness and reliability of AD systems. By highlighting the dedication to comprehensive testing methodologies, you’ll get a deeper understanding of our focus towards safer and more efficient automated driving solutions."

Join Alejandro at the Simulation, Testing & Validation conference, where he'll be presenting:

APPLICATION OF SCENARIO-BASED TESTING TO REDUCE THE VALIDATION EFFORT.

Alejandro will be taking the stage on Main Day 1, Wednesday 11th September 2024. Register here.