Learn about co-simulation and stay up to date about credible sensor models.

In this video, Clemens, our CTO, introduces the Persival Sensor Performance Test Bench. It measures the actual performance of lidar and radar sensors across different targets, materials, distances, and viewing angles. With these measurements, you can assess sensor capabilities beyond the data sheet, compare sensor configurations, and validate your sensor models. Tutorial 15: How to measure the performance of perception sensors Topics Covered Sensor Performance Measurement: Le

What is the key to credible sensor simulation? At Persival, we believe the answer is not more complexity, but more traceability. By connecting scenarios, sensor effects, measurements, and validation evidence, simulation credibility becomes a structured engineering process rather than a matter of belief.

When people think about high-fidelity radar simulation, they typically imagine one thing: a detailed 3D environment. Geometry, meshes, materials, everything needs to be modeled, prepared, and maintained before a single ray can be traced. But what if you could get the same physical fidelity without requiring a predefined 3D scene at all?

We apply a development method that embeds continuous verification & validation (V&V) into every iteration of our perception sensor model development, so lidar and radar models become more credible, traceable, and automation‑ready as they evolve.

In this video, Clemens, our CTO, introduces the Persival Weather Test Bench. It automatically records sensor measurements in adverse weather conditions, such as rain, snow, and fog. With these measurements, you can evaluate how perception sensors like lidar, radar, and cameras perform under real-world weather conditions. Tutorial 14: How to measure weather influence on perception sensors Topics Covered Weather Impact on Perception Sensors: Learn how environmental conditions a