About

Let us develop a dedicated virtual proving ground for your needs. We  design for your specific needs and plan the required test setups as you  go on with your development process.siniz.

Automated Driving is not a destination, it is the journey itself. Step  by step let us demonstrate your ideas on your virtual proving ground. We  simulate the vehicle, the environment, the actors and the sensors. We  implement your requirements and demonstrate virtually. During the rest  of the project, we are also ready for support. Do you want to switch to  real world, we are also willing to develop.

We can still do more for you. We are experienced and competent. Let us  support you from virtual world to real world. Do you need engineering or  consultancy? We are always ready to provide more.

The virtual proving ground environment to test the AD  algorithms is implemented by the famous 3D game engine UNITY. The  vehicle behavior is simulated by the integration of FMU 2.0 model that  can be generated by tools such as OpenModelica, MATLAB ... The data  processing algorithms can be implemented by C/C++ or python running in  parallel by the UNITY engine where the data is transferred by shared  memory. Fast and real-time. See the details in our white paper which you  can download from the link. The company introduction can be downloaded  from this link.

We provide a sample proving ground to demonstrate the notion  of the concept. Here the proving ground is a 2 lane road with the  necessary curvature to test the LDW. The road has a damaged texture and  the lanes are low-quality faint. The road has different luminosities to  test and validate the robustness of the tested algorithms.  The sensor  set is consisting only of a front camera with a typical aperture and  resolution. You can download the environment from the link. The executable can be executed from windows and the prerequisites are defined in the read me files.

Maybe the most well know and common Level-1 feature used in  today's vehicles is Lane Departure Warning. The feature utilizes the  front camera and detects the lanes. If any unintended lane departure is  detected the feature issues a warning. The necessary Visual C++ project  and source codes can be dorwnloaded from the link. This is a standalone  executable that runs in parallel with the UNITY environment which  processes front camera video using the well-known image processing  library OpenCV.