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?

When we talk about lidar simulation, most discussions focus on sensor models, ray tracing, or point cloud generation. But in many real-world applications, the biggest challenge lies elsewhere: the materials.

Simulating lidar sounds straightforward at first: send out light, measure the distance, and construct the point cloud. In practice, however, the challenge lies in what happens in between. The way infrared light interacts with the world is anything but simple, and without modeling that interaction correctly, even the best sensor model will fall short.

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, demonstrates how to simulate radial velocity measurements using the Sensor Model Development Library...

In this video, Clemens, our CTO, explores how to simulate timing effects in perception sensors using the Sensor Model Development Library...

In this video, Clemens, our CTO, demonstrates how to build a physical perception sensor model using standardized interfaces like ASAM OSI...