OVAL Use Cases

Sensor Modell Validation

Data Trading Digital Twins

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Sensor Modell Validation

Efficient sensor model validation with ground truth data using OVAL
In our ongoing research and development work within the GAIA-X project family, we have made significant progress in using OVAL with ground truth data for sensor model generation and validation. Here are the key milestones and benefits we have achieved so far:

Selection of high quality test data
Test partners can choose from an extensive collection of ground truth data collected on our specialized test tracks. This data forms the basis for the precise development of sensor models.

Straightforward data handling
Thanks to our user-friendly platform, the required data can be processed quickly and efficiently. This process saves time and allows users to focus on the essential aspects of model optimization.

Efficient sensor model generation
With the selected Groundtruth data, we were able to support Continental in creating precise sensor models. Our platform provides state-of-the-art tools and technologies that ensure optimum model quality.

Simulation and validation

Another highlight of our collaboration is the ability to test generated sensor models directly on our platform. Continental can select relevant data and run comprehensive simulations to validate the performance and accuracy of the models. This enables realistic testing of the models under different conditions.

Flexibility for individual requirements

Our platform offers Continental and other customers the flexibility to customize data and simulations. Users can decide for themselves which data is best suited to their specific requirements and how they want to validate their models.

Summary of benefits

– Reliable data quality: OVAL’s accurate ground truth data provides a reliable basis for model development.

– Ease of use: The platform is designed to be intuitive and user-friendly to enable quick and easy data processing.

– Innovative technologies: State-of-the-art tools support sensor model generation and validation.

– Adaptability: Customers can design and optimize their processes according to their individual needs.

AI Training

Efficient Training- and Verification for KI Algorithms

Finding training data sets for artificial intelligence, with secure access, controlled transfer and the protection of data sovereignty and data protection

Access to high-quality data

AI developers have the opportunity to choose from an extensive collection of data that has been specially prepared for the training and testing of algorithms. This data provides a solid basis for improving the performance and accuracy of the models developed.

Straightforward data handling

Our user-friendly platform enables developers to process the required data quickly and efficiently. This smooth process saves valuable time and allows users to focus on fine-tuning their algorithms.

Efficient training of algorithms

AI developers can use the selected data to precisely train their algorithms. Our platform offers state-of-the-art tools and technologies to ensure that the models are optimally trained and prepared for real-world use cases.

Integrated testing capabilities

An outstanding advantage of our platform is the ability to test the trained algorithms directly. Developers can simulate their models with relevant data and run extensive tests to validate performance and accuracy under different conditions. This enables comprehensive and realistic testing of the algorithms.