Simulation of a lidar front end and sensor environment based on mathematically formulated physical laws. It allows for injecting lidar data in raw or point cloud format into a processing chain.
More realistic sensor simulation and higher performance.
Presenting a new test system for validating an autonomous, AI-based vehicle using realistic sensor simulation.
In this webinar recording dSPACE shows the different dSPACE solutions for sensor simulations: starting from ground truth sensor models to raw data stimulation via GPU-based physical sensor models.
The Lidar Module – an integral part of Sensor Simulation – allows for lidar sensor simulation based on the design principle of the sensor (laser and photodetector). The module provides physics-based simulation of lidar sensors with high variety of configuration options. The environmental simulation is based on raytracing technology. In addition, an API can be used to extend the functionality of the lidar simulation for data processing algorithms and to include custom sensor models. For each point of a point cloud, different values are calculated, e.g., surface normal vector, azimuth angle, elevation angle, distance, reflectivity, relative velocity, material ID and optical power. Additionally, the ray chronology of the scanning sensors can be simulated and is configurable. Multiple echoes (e.g., from the transmission of semi-transparent materials) are also considered.
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