In particular, virtual testing methods will be given a more important role in the validation process of automated vehicles. They enable to carry out the required high number of test scenarios in a wide variety of driving situations - thus reducing safety risks and the expense of real-road tests. Thereby massive simulation in the cloud, Model- and Software-in-the-Loop, Hardware- and Vehicle-in-the-Loop, as well as Driver-in-the-Loop will be important virtual testing environments for bringing these systems on the road.
Another big challenge, however, is the development of suitable tools for creating, describing, and managing proper test scenarios and cases. Moreover, according to safety assessment argumentation frameworks, appropriate methods are required for test coverage optimization and critical scenario evaluation. Thus, scenario-based verification and validation methods are applied in combination with virtual and real road environments
As a leading test system provider, we offer a scenario-based Verification and Validation (V&V) toolchain. The flexible, modular toolchain enables test preparation, execution, and evaluation for multiple test environments – from real-road, to proving ground and fully virtual environments. Our toolchain strategy allows the integration of different tools and content, such as traffic or environment simulation tools with proper scenario content. That method forms an important aspect for the virtual- and real-world validation of ADAS/AD-vehicles. It enables users to analyze KPIs, create test reports and to gain valuable information out of the vast amount of data generated through simulations, virtual testing, and real road testing.
Intelligent methods for generating test cases, such as via ontologies, ensure efficient testing with optimal test coverage. Our toolchain also uses statistics from real-road traffic to optimize test coverage in terms of real-world driving behavior. Pre-packaged scenarios and KPI evaluations support the testing of NCAP and GSR and ensure compliance with those regulations. We are partnering with key players in the area of safety argumentation and test methodology, for example, TNO.
Scenario Based Test Preparation
The development, testing and release of vehicles with ADAS/AD functions require safe operation and a great perceived safety. Thus, a huge number of predefined test plans (such as for NCAP or GSR), but also scenarios that go beyond them, must be tested. Furthermore, results have to be documented in a traceable way- in simulation as well as at the proving ground and on the road.
The AVL SCENIUS™ supports the complete process from scenario management and test case generation to test allocation and KPI- reporting. It helps to move from scenarios to specific test plans, which can be executed in simulation and other virutal as well as in real world testing environments. It integrates a systematic approach to define safety requirements and validation targets, and to generate the relevant test cases. Different test planning methods integrated into the toolchain allow intelligent optimization with respect to critical test coverage and the test environment
Test Execution Environments
Through the combination of physical and virtual tests you can validate your vehicles over large distances under limitless conditions to ensure system robustness and safety. The most efficient validation and approval will be done by those who will use the best combination of the different test environments. We provide testing solutions considering all relevant test execution environments:
- Real Road Testing: An accurate benchmark of the real world allows the measurement of the accuracy of the vehicle’s perception systems and therefore, engineer their safety. The AVL Dynamic Ground Truth System™ enables a faster, reliable, and precise ground truth collection over a whole vehicle fleet.
- Proving Ground Testing: The proving ground is a necessary part of the process for the verification of functional targets, active safety and legislative requirements. Our holistic and open toolchain consisting of our modules AVL Smart ADAS Analyzer™ and AVL SCENIUS™ support this complex workflow efficiently
- Vehicle-in-the-Loop (ViL)Testing: ViL-Testing combines both, simulation and a ready-to-drive vehicle, on a chassis dynamometer or powertrain testbed. Through the reproducible execution the AVL DRIVINGCUBE™ speeds up the validation and approval process of ADAS and AD functions in a safe test environment.
- Hardware-in-the-Loop (HiL) Testing: It is used in the early phase of development, where there is not yet a road-ready vehicle. The AVL-system-HIL-testbed enables tests for all ECUs using the SPA (Sense-Plan-Act) approach.
- Software-in-the-Loop (SiL) Testing: Testing the production software code in a virtual environment offers great performance and reproducibility. Fully automated SiL-Testing as part of a continuous integration cycle can be achieved by using the powerful programming interface of our virtual integration platform Model.CONNECT™.
- Model-in-the-Loop (MiL) Testing: In the MiL development process, the first virtual prototypes are basic models of the desired system functionality. Our integrated and open development platform Model.CONNECT™ allows an easy integration and simulation of controller and plant models from different tools.
KPI Evaluation and Data Management
During the development, verification, and validation process of automated driving functions, a huge volume of data is generated. Statistical evaluations of large volumes of representative real-world driving data are applied, to assess and improve the performance of ADAS/AD sensors and their algorithms. Millions of pieces of simulation-generated data ensure that the diversity of real-life driving is considered during development. The Data-Driven Development (DDD) approaches become a core enabler of the higher the degree of automation (SAE level 0 to 5) of a vehicle.
The AVL Big Data Management and Analytics Platform™ supports the entire workflow of the data driven development and helps to store and manage data efficiently and to analyze it automatically. This increases efficiency and accelerates ADAS/AD development.
We provide our customers with a powerful tool and solution portfolio to master key challenges in developing and releasing ADAS and AD functions. With our experts and solutions, we support data-driven development and validation, efficiency enhance through virtual validation, and verification of compliance with legislative requirements.
- Andrea Leitner, Global Business Segment Manager ADAS/AD Tools & Solutions
AVL provides expert knowledge and support for the connected and automated mobility of the future.
SCENIUS is a holistic solution for scenario-based ADAS and AD safety testing and validation.
Boost the efficiency of your NCAP and homologation testing: now and in the future.
Highly accurate dynamic environment-measurement for ADAS/AD validation.
Fully exploit the value of your real-word data with the AVL ADAS/AD Big Data and Analytics Platform™.
A new way to speed up the validation and approval process of ADAS and AD- systems.
Self-driving cars – which once seemed to be a thing of imagination or science fiction – will in the not-too-distant future become reality
What will the vehicle of the future look like? It will be electrified in some form, sure. But most importantly, it will be equipped with a variety of advanced driver assistance systems (ADAS), and the driver will be able to fully rely on the vehicle through autonomous driving (AD).
The biggest challenge is to gain drivers' trust in the technology by...
- Seamless scenario-based testing toolchain, including simulation, vehicle-in-the-loop and real-world testing
- AI-Based methods for scenario extraction and tools for scenario creation and management
- Comprehensive methods for test case generation and optimizing test coverage, such as Ontology and real road statistics
- Scaleable big data solutions with build-in AI based algorithms to enable data driven development efficiently
- Up-to-date regulatory standard scenario-packages for NCAP, EU-GSR, UNECE ALKS
- Strong know-how in verification and validation processes, toolchains, and integration into customer environments
- Cooperations with best-in-breed partnerships with unique technologies such as radar and steering injections
- Experiences in model and entire toolchain validations to enable simulation and virtual homologation
- Strong engagement in regulatory and standardization bodies to accelerate a safe deployment of ADAS/AD systems
AVL, as a leading system provider, is connected with experts all over the world. By combining our know-how with other partners in the automotive and technology industry we are continuously strengthening our ADAS/AD Verification and Validation portfolio. Our evolving partner ecosystem involves key players in partnership simulation, technology, scenario content and methods and standards.
10+
Years of Experience
20+
Customer Projects
15+
Automotive Customers and Institutes
6+
Competence Centers
50+
ADAS/AD Experts Worldwide
30+
Industry and Research Partners
Highlights
In this webinar, AVL and Alp.Lab will introduce an ADAS/AD testing and validation from real world data recording, scenario extraction to scenario-based test planning and execution in virtual environments.
Ready to combine the best of two worlds?The demand for ADAS/AD testing and validation in simulation and real world is increasing rapidly due to the growing number of ADAS/AD functions and vehicle variants.
- EN,
When it comes to developing and validating advanced driver assistance systems (ADAS) and autonomous driving (AD), data-driven processes are indispensable nowadays.
![AVL DRIVING CUBE[2]](/sites/default/files/styles/landscape_small/public/pressrelease/Company/PressReleases/Press%20Releases%202020/AVL%20DRIVING%20CUBE%5B2%5D_0.jpg.webp?itok=bFCuIasG "AVL DRIVING CUBE[2]")
- EN,
GNSS signals (for example GPS signals) are of major importance for positioning and tracking, orientation and safety-related information, such as congestion, in road traffic.
- EN,
With the new vehicle engineering center, AVL established a unique engineering facility to test conventional and future vehicles in Zalaegerszeg, Hungary.
- EN,
Innovative Test Infrastructure for Driver Assistance Systems and Autonomous Driving