• rFpro

    rFpro provides driving simulation software and Digital-Twins for Autonomous Driving, ADAS and Vehicle Dynamics development, testing and validation. It is being used to train, test and validate Supervised Learning systems for ADAS applications.

  • Sensor realistic simulation

    Claytex develops camera, radar and LiDAR sensor models based on physics for use with rFpro. These models are representative of the real sensors and include weather and other noise effects.

  • Scenario based testing

    Our Simulation Manager enables scenario based testing with support for OpenSCENARIO and OpenDRIVE. Define the intended trajectory for the ego vehicle, traffic and pedestrians and measure the system performance.

  • Measuring your performance

    Simulation Manager for rFpro includes metrics that can be calculated to measure your system performance during a test. It provides an extendible plugin mechanism to allow you to add your own metrics to measure performance.

  • Ground truth

    In simulation we can generate pixel perfect, labelled, ground truth data to train and test your perception layer. It can also be used to bypass the perception layer and focus on the planning and actuation part of the control system

  • Use your vehicle model

    rFpro has interfaces to a wide range of vehicle dynamics software including Dymola, IPG CarMaker, SimPack, VI-Grade, Carsim, Simulink and also offers an open API enabling support for others

  • Driver-in-the-Loop or robot driver

    Run tests as a Driver-in-the-Loop simulator or use our automated driver to run the vehicle through the test scenarios

  • Control system integration

    Simulink toolboxes are available to provide easy integration into the simulator or connect to a HiL system to include the physical controller in the tests

Related Articles

  • Modelling the effect of rain on LiDAR sensors
    Modelling the effect of rain on LiDAR sensors

    Vehicles with automated functions require sensors to perceive the environment around them. The sensor suite used usually contains cameras, radar sensors, and LiDAR sensors. Testing automated functions only in the real-world requires a large amount of time and resources. Therefore, there is a benefit to testing automated functions in simulation as well. Hence, there is a need to replicate things […]

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  • Sim4CAMSens – Second Winter Of Testing
    Sim4CAMSens – Second Winter Of Testing

    For the second season in a row, Claytex has taken a (rather long) field trip up to Scotland. This season we moved to a different site, again in the foothills of the Cairngorms, near Pitlochry. But this time, we were able to organise a site with a lot more of everything; more range, 200m instead of 80m; more range increments, […]

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  • Modelling of Phased Array Antenna
    Modelling of Phased Array Antenna

    Previously, we have covered how to model the reflection of an electromagnetic wave on a surface (Radar Modelling – Reflection of an EM wave – Claytex). Following up on the modelling of radars, we will now address the antenna beam pattern. One of the most common (and cheapest) types of antenna are arrays, i.e. a set of radiating elements connected […]

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