Simulation of the sensor environment based on mathematically formulated physical laws. It allows for injecting radar data into a processing chain in various formats.
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 module provides realistic, physics-based simulation of radar signals in a virtual environment with a large variety of configuration options. It is part of Sensor Simulation. The environment simulation is based on raytracing technology. In addition, an API can be used to extend the functionality of the radar simulation for data processing algorithms. By default, two processing templates are shipped with the module. One returns the channel impulse response of the environment as rays that contain information about azimuth angle, elevation angle, distance, and the relative velocity of hit objects. In addition, the reflected electric field is returned as a polarization matrix. The customer can further process this data, e.g., to generate raw-data, such as voltages for the analog digital converters (ADC) of a real sensor.
The other processing template returns a detection list. The radar response of the environment is evaluated and the signals are sorted in an adjustable four-dimensional grid (three spatial and one velocity dimension).
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