Many applications of machine learning and reinforcement learning approaches require a transfer of the trained neural network to the embedded sof...
The eFMI standard (Functional Mock-Up Interface for embedded systems) enables a standardized workflow for the application of physical models, li...
The AFM’s AI-based path detection module, which is responsible for identifying drivable paths, was tested on public roads with an intrinsicall...
The TMeasy is a tire model suitable for vehicle handling analyses and enables easy parametrization. Recently, a convenient interface to Modelica...
The semi-active suspension of the testing platform AI For Mobility (AFM) enables the real-time control of the vertical dynamics of the vehicle....
The intelligent control algorithms we develop at SR base i.a. on artificial intelligence (AI) and machine learning (ML) approaches which need a...
In order to enable the testing platform AI For Mobility (AFM) to perceive its environment, it is equipped with multiple cameras. The camera imag...
The hybrid research vehicle AFM (AI For Mobility) is equipped with multiple camera sensors to sense the vehicles environment. A real time path...
The AFMs drive-by-wire kit builds the centerpiece for automated driving applications. The kit enables the control of the steering, acceleration...
Recent experimental test drives with the ROboMObil show the energy saving potential of optimized paths and velocity profiles. At ADAC test facil...
“AI For Mobility” (AFM) is a new testing platform to investigate and implement novel control methods based on Artificial Intelligence (AI)...