Explore our latest results achieved in the PathFindRNET project. Get to know the codebase and the datasets.
Our research focuses on utilizing computer vision and machine learning to create and analyse traffic datasets. By combining object detection and object tracking, we have uncovered valuable insights and trends that can help to understand the flow of traffic in crossroads and other situations. The framework we developed helps to process and create statistical models from the datasets we created