Tailor-made vehicle testing + objectification for maximum safety, performance and compliance

Our approach combines KPI-based, objective evaluation with the correlation of subjective perceptions. This allows us to build a holistic picture of the user experience. Our analyses result in new target values and clear recommendations for action, helping our clients to optimally align their products and services with their end users and achieve a brand-specific expression (brand DNA).

Verification and validation of driving functions still occur too late in the vehicle development process. Critical issues are often only discovered on the road, leading to costly prototype modifications. However, modern simulations offer an efficient alternative: A seamless V&V validation approach that integrates simulation, driving simulators, and real-world testing to detect errors early, reduce the need for extensive test drives, and ensure continuous maturity development. This not only accelerates the development process but also significantly improves the quality and safety of driving functions.

We support you in all phases of V&V process– from concept development to resource planning, project management, and implementation. Our integrated toolchain covers all relevant development stages, ensuring efficient validation by combining simulation, dynamic driving simulators, and real-world testing.

Seamless Validation with SiL, MiL, and HiL 
By utilizing SiL (Software-in-the-Loop), MiL (Model-in-the-Loop), and HiL (Hardware-in-the-Loop), we can significantly shorten the development process and validate the quality of driving functions at an early stage.

Dynamic Driving Simulator with HiL Integration
Our dynamic driving simulator enables both static and dynamic tests with full HiL integration. This allows complex scenarios to be tested under realistic conditions, ensuring highly reliable results.

Powerful Simulation Environments
Through model integration, validation, and the creation of detailed sensor models, we create realistic test conditions that enable precise analyses.

Ground Truth Routes for Seamless Validation
Our virtual tests are based on the exact same routes used in real-world driving tests. This ensures higher accuracy and comparability of results.

Standardized and Reproducible Tests
With structured KPI, maneuver, scenario, and route catalogs, test processes can be automated and analyzed with precision.

Our goal is to shift as many validation activities as possible from the right to the left side of the V-model, reducing the need for complex prototypes and extensive real-world testing—leading to a faster, more efficient, and higher-quality development process.

We offer verification and validation at every level with our seamless toolchain, covering individual driver assistance functions as well as fleet testing.

Simulation of ADAS System Behavior – Detailed analysis and optimization of driver assistance systems in a virtual environment.

Function Validation  – Verification and validation of individual vehicle functions under realistic conditions.

Full Vehicle Validation – Ensuring the integration of all functions within the vehicle.

Regional Compliance Testing (EU, NAR, CN, SAR, Japan, South Korea) – Compliance testing with country-specific regulations and requirements.

Fleet Testing (Vehicle Collection Testing) – Real-world testing with multiple vehicles for long-term analysis and series production readiness.

Our recent vehicle comparison project with Auto Motor und Sport, a test series on ‘Driver Assistance Systems’ (ADAS), highlights how impractical some functions in current vehicle models can be. In one instance, it is even stated that they are more of a burden than a help for the driver.
A key reason for this: Driver assistance systems (ADAS) are often primarily developed to meet legal and safety-related requirements, such as those set by NCAP (New Car Assessment Program). However, a technically correct implementation does not automatically mean comfortable driving or high customer satisfaction. The challenge in the development process lies in defining target values for an ADAS function in the form of KPIs that address both regulatory safety requirements and the actual needs of customers.

• Definition and validation of target values through a holistic consideration of laws, NCAP requirements, brand DNA, and customer needs
• Objective evaluation of function performance through KPI-based analyses
• Competitive benchmarking to identify strengths and optimization potential

To objectively evaluate the performance of driver assistance systems, we offer a structured, data-driven solution. Through targeted benchmark analyses, we provide transparent target values in the form of KPIs and well-founded comparisons with competitors. We consider not only legal requirements and NCAP criteria but also brand-specific customer requirements. Our approach allows for the targeted optimization of ADAS functions, ensuring they deliver in real-world driving situations.

• Measurements on ground truth maps in real-world driving situations (city, rural, highway)
• Automated live evaluation in the vehicle with MXeval software
• Use of a comprehensive KPI library

Our methodology is based on a systematic and objective testing approach. We use ground truth maps that provide extensive test coverage, far beyond the test track. These routes include various driving situations, such as urban, rural, and highway sections, allowing ADAS functions to be tested under real and diverse conditions. With our highly accurate ground truth maps, we can perform specific analyses, such as Distance to Line or curvature progression, to assess function and sensor performance in real time. These detailed measurements provide valuable insights into the precision and reliability of driver assistance systems.

All tests are conducted with our MXeval software, which enables fully automated live evaluation in the vehicle. The software processes all relevant KPIs in real time, providing an objective, precise analysis of the ADAS function, ensuring a well-founded evaluation of system performance. This methodology guarantees a comprehensive review of ADAS functions and offers a clear overview of their actual performance in real-world driving conditions.

In this video, we demonstrate the objectification of vehicle functions using our evaluation and targeting software, MXeval, with the example of the lane-keeping assistant.

Our experts perform a maneuver to test the on-center steering feel, the so-called Weave Test, and show how easily we capture objective measurement data during the test drive and generate the results live in the vehicle immediately afterward.

You hand over control to the Lane Keeping Assist (LKAS), but your vehicle leaves the lane in a curve. Did the function fail, or is the sensor not accurately detecting the curve’s curvature? Is the actual cause of the performance deviation in the system’s software or in the sensor? Without a detailed sensor evaluation, these questions often remain unanswered. A thorough assessment of a driver assistance system always requires a comprehensive analysis of sensor performance – only then can targeted optimizations be derived.

We offer a methodical and data-driven approach to evaluating sensor performance. Using highly accurate ground truth map data, we analyze how reliably sensors perform in various driving situations. This not only enables the identification of weaknesses but also provides a well-founded root cause analysis to implement targeted optimizations. Our sensor benchmark ensures that sensor data is processed accurately – leading to higher system reliability and better performance in real-world driving scenarios.

For objective evaluation, we define specific Key Performance Indicators (KPIs) that enable precise measurement of sensor performance. These KPIs are tailored to the requirements of each ADAS function and serve as the foundation for our approach and targeted improvement measures.

Evaluation in conjunction with the function
We do not analyze sensors in isolation but in direct relation to the function’s performance.

Tests on ground truth maps
Our highly accurate map data serves as a reliable reference to verify actual sensor performance.

Real-time analysis of sensor data
We evaluate whether a camera detects a lane marking, if it interprets it correctly, and whether the marking was actually present.

Consideration of environmental factors
Our method allows for a comprehensive sensor evaluation under various weather conditions, such as backlighting, rain, fog, and snow.

Sensor cluster analysis
We analyze the interaction of all sensors in the vehicle to assess overall performance and identify synergy effects or potential weaknesses in the sensor network.

The new Regulation (EU) 2018/858 [Link] presents significant challenges to automotive manufacturers’ internal compliance systems, such as Conformity of Production (CoP). Stricter type approval requirements, expanded market surveillance, and extensive documentation obligations necessitate full compliance with legal regulations – not only during the approval process but throughout the entire production cycle. The authorities’ oversight powers have been extended, and violations may lead to heavy fines or market exclusions. In particular, the testing of driver assistance systems and software functions requires specialized solutions to minimize compliance risks

You are not alone in facing these challenges. We understand the increased requirements and support you in meeting the provisions of EU Regulation 2018/858. Through precise CoP testing and comprehensive documentation, we minimize compliance risks and guide you through conformity assessments and market surveillance. This ensures that your vehicles remain compliant with applicable regulations throughout production and even after approval – and that the production vehicles meet the same high standards as the tested model.

• Ensuring compliance after market introduction
• Testing and validation of driver assistance systems and software functions
• Documentation and transparency for authorities and testing organizations
• Support in addressing deviations and risk minimization

In our CoP tests, we rely on a consistent methodology that ensures precise and efficient testing.

Autonomous measurement solutions
Our solutions are flexible and adaptable to various requirements, enabling tests without direct vehicle access.

Powerful evaluation and targeting software
It allows for highly automated testing with individual adjustments and real-time analysis – for maximum efficiency and accurate results.

Collaboration with Accredited Technical Services
We collaborate with established testing agencies to ensure objective and neutrally verified results.

Many vehicle manufacturers are specifically optimizing their models for a high Euro NCAP rating (European New Car Assessment Programme) to better market their safety features. However, the requirements are continuously increasing: New assistance systems, such as emergency braking and lane-keeping assist, are now a central part of the evaluation. This expands the maneuver catalog to include diverse variations and complex test scenarios – significantly increasing the effort for driving tests. At the same time, there is a growing need for more efficient testing methods. A toolchain that enables a consistent evaluation methodology and standardized execution of maneuvers across all testing instances is therefore becoming increasingly important

Vehicles with safer driver assistance systems and partially automated functions achieve better Euro NCAP ratings. Prepare specifically for these requirements to optimize your safety standards and make your vehicles more competitive. We support you with intelligent solutions and efficient testing processes to optimize your Euro NCAP tests. Our systems accompany you from the early development stages through simulations to the final evaluation in road tests.

What this means for you:

• Automated test execution – Efficient control of complex test scenarios
• Consistent evaluation methodology – Comparable results across all test instances
• Simulation-based development – Optimization before physical tests
• Objective & subjective evaluation