Our physical models can simulate a wide range of sensor technologies, including spinning, prism, and MEMS-based lidars. We are also among the first to offer specialized FMCW lidar sensor models. Check out our video on FMCW lidar simulation.

Yes, our models simulate the impact of environmental factors such as rain, fog, and snow on the sensor's performance. The impact is modeled as attenuation during signal propagation and as clutter detections in the atmosphere due to back-reflection, e.g. from rain drops. Check out or video on how we quantify the weather impact with real-world measurements.

Persival models are fully compliant with industry standards like ASAM OSI for ground truth and sensor data, and ASAM OpenMATERIAL 3D for physically accurate 3D assets and material properties. Check out our tutorial on how these standards work together.

The models are typically packaged as Functional Mock-up Units (FMU) using the FMI standard, allowing for seamless integration into most common co-simulation frameworks. Check out our introduction video to automotive co-simulation.