3D Érzékelés és Mobilrobotika Kutatócsoport

Traffic Sign Recognition and Detection

Visual perception of the environment is an essential task for any autonomous vehicle. In the case of everyday traffic recognising traffic signs is a fundamental part of this problem. While there are increasingly precise online databases available for traffic rules, still, combining the data received from these with real time perception is recommended in order to avoid errors caused by inaccuracies, slow updates or loss of connection.

In our research project we are developing a deep learning algorithm to recognise and localise traffic signs, and infer the current rules of traffic. We are also planning to extend this work, and create an algorithm that can perform navigation tasks based on direction signs (such as selecting the correct lane or road).