This project is a new approach for detecting the lanes. It's main feature is a region based lane detection, filters add probabilities. The point with the hightest probablity in each region is considered a part of lane.
The projects architecture pattern is based on pipes-and-filters. So it's really easy to add new functionality. Furthermore a state machine is implemented, so there is a state based bavior for lane detection.
It all runs on a Raspberry 2B at 50fps
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
You need Matlab 2017a or newer, Simulink with Computer Vision System Toolbox installed
You can simply run the simulation by executing the Spurerkennung.slx file
