Persival

Persival

Sensor Model Calibration & Validation.

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Persival GmbH develops software and provides services for the simulation and validation of perception sensors used in automated systems. The company's offerings aim to transfer the majority of testing and safety validation from real-world scenarios to simulation, thereby enhancing the safety and reliability of automated vehicles. Their solutions cater to creating credible, tailored simulation models, from defining requirements to validation with real-world measurements.

Founded in late 2021 as a spin-off from the Technical University of Darmstadt's automotive engineering department, Persival was established by Dr. Philipp Rosenberger (CEO) and Dr. Clemens Linnhoff (CTO). Their doctoral research in sensor model validation and the impact of weather on sensors forms the knowledge base of the company's products. The company is headquartered in Darmstadt, Germany.

Persival's business model is centered on providing a comprehensive and modular catalog of software and services. This includes software products like Simspector for analysis and Avelon for validation, alongside services such as material and performance measurements and the creation of custom 3D assets. The company serves a range of industries, including automotive, construction, agriculture, mining, and robotics. It generates revenue by selling its software and services to clients, which include major automotive original equipment manufacturers (OEMs).

The company's core technology focuses on ensuring the credibility of sensor simulations by validating synthetic sensor data against real-world performance, including under various weather conditions. Persival leverages its research background to model complex effects and uses advanced validation methods to give clients confidence in virtual testing. The firm is also an active participant in developing industry standards like ASAM OSI.

Keywords: perception sensor simulation, automated driving, simulation validation, digital twins, sensor modeling, automotive software, robotics, virtual testing, autonomous systems, ADAS

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