Innovative Solutions
DFT V&V Solutions
As a provider of customised safety services, we understand the critical importance of ensuring the reliability and performance of advanced automotive technologies, including ADAS, alternative powertrains, battery management systems (BMS), and battery charging stations. Our dedicated team of experts delivers tailored testing solutions designed to meet the unique requirements of your systems, whether you’re developing new features or refining existing ones. From advanced driver assistance to energy-efficient powertrain solutions, our comprehensive testing services cover a wide range of scenarios to validate functionality, safety, and efficiency. Beyond standardised testing, we offer personalised approaches to address the specific challenges of your applications, ensuring robust performance across all use cases.
Solution Portfolio
Accelerated traffic-flow simulations
Extensive real-world mileage is required to validate the safety of Advanced Driver Assistance Systems (ADAS). Rare but critical events, such as collisions or edge-case scenarios, make such an approach time-consuming and resource-intensive. Additionally, developing new and unknown scenarios poses a significant challenge to ensuring system robustness. Accelerated traffic-flow simulations address these challenges by enabling high-volume scenario generation, effectively replicating real-world conditions while uncovering critical situations more efficiently.
Efficient validation methodology for traffic-based simulations with stress testing to accelerate generation of critical scenarios
- Virtual data generation
- Stohastic traffic flow
- Extraction of data and scenarios
- Continuous triggering of critical scenarios
- Critical assessment
Multipurpose framework
- Durability test (X kilometres)
- Extraction of new, previously unknown scenarios
- Significant increase in collision and near-collision scenarios
- Stress testing uses a mathematical model that triggers longitudinal and/or lateral behaviour of traffic just at the right time to increase the criticality of the situation
- Automated scenarios extraction and storage
- Controllers can be added as black-box models
- Easy customisable (KPIs, acceptance criteria, …)
Active verification framework
Verifying Advanced Driver Assistance Systems (ADAS) often relies on scenario-based simulations, where countless concrete scenarios must be considered to ensure system reliability and safety. This presents a significant challenge, as testing every possible scenario is impractical. To address this, we employ a methodology that learns from previously simulated test cases, enabling intelligent exploration of the design space. This method successfully identifies the most relevant and critical scenarios by reducing the number of simulations required, enhancing the effectiveness of the verification process.
Implementing an efficient verification methodology for scenario-based simulations with active design exploration and predictive modelling
- Significant simulation reduction potential (≈70%)
- Surrogate models are reusable and can be used to search for relevant scenarios
- Extendable and flexible (e.g. customisable KPIs, Risk assessment, different ML and optimization algorithms, …)
Integrated and Automated Database
Efficient and reliable testing of advanced automotive systems requires an automated and integrated approach that seamlessly creates scenario database creation from actual traffic observations. This approach ensures streamlined workflows, precise scenario management, and consistent testing outcomes by leveraging a custom-made user interface tailored to the desired testing environment. Such integration enhances testing efficiency and enables comprehensive assessment of system performance under diverse and controlled conditions, accelerating development while maintaining safety and reliability.
- Content extracted from the evaluation of real-world data (e.g. FARS)
- Scenario categorisation
- The user interface allows for easy interaction with the user and parametrization, saving, loading and assessment of the test sets.
- Scenario creation at all three levels: functional, logical and concrete
- Detailed parametrization of scenarios
- Scenario role switching to increase variability in the validation and verification of ADAS functions
- It can be implemented using different programming languages (Matlab, Python, Java, etc.)
- Automated and tailored assessment