A UK Government funded project is using rFpro to validate sensor model simulation.
This article from Claytex describes how the same approach can be used by commercial rFpro users to develop their Perception strategy for autonomous vehicles and ADAS systems.
The article describes evaluations in simulation of three range-doppler radars that scan in the azimuth plane. These types of sensor allow estimation of range, angle and velocity of the detected targets.
Physical simulation of sensors in rFpro is critical to the success of autonomous vehicle testing and validation. The testing of autonomous vehicles is such a large project that it is only feasible when conducted largely in simulation. Claytex’ government funded project is ensuring that correlation can be achieved between physical sensors in the real-world and physically modelled sensors in the rFpro virtual environment.