Category: AI For Mobility
KIFAHR: AI based Vertical Dynamics Control
In automotive applications, the goal of vertical dynamics design is to optimize the vehicle chassis suspension so that certain objectives, such...
AICloud: Development of an AI-based Virtual Sensor using a Cloud Computing…
Within the AICloud project, the DLR institute SR researched together with EFS TechHub GmbH on innovative AI-based sensor algorithms using a clou...
Combination of AI-based Path Detection and Highly Accurate GPS Data
The AFM’s AI-based path detection module, which is responsible for identifying drivable paths, was tested on public roads with an intrinsicall...
AFM Experiments on a Vertical Dynamics Test Rig for AI-based Control…
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 Sensor, Computer and Actuator Architecture of the AFM
The intelligent control algorithms we develop at SR base i.a. on artificial intelligence (AI) and machine learning (ML) approaches which need a...
Extrinsic Camera Calibration for the AFM
In order to enable the testing platform AI For Mobility (AFM) to perceive its environment, it is equipped with multiple cameras. The camera imag...
Path Detection on AFM using NVIDIA’s PathNet
The hybrid research vehicle AFM (AI For Mobility) is equipped with multiple camera sensors to sense the vehicles environment. A real time path...