Recognition of road markings, signs and traffic lights using deep learning models

This bachelor thesis presents a comprehensive study on the recognition of road markings, signs, and traffic lights using state-of-the-art deep learning models. The work contributes to autonomous driving technology by developing robust recognition systems for real-world applications.

The research explores various deep learning architectures and their effectiveness in traffic sign recognition, addressing challenges such as varying lighting conditions, weather effects, and different sign orientations. The thesis demonstrates practical applications of computer vision techniques in autonomous vehicle systems.

Institution: Electrotechnical University “LETI”, Department of Computer Science
Completion: July 2023
Keywords: Deep Learning, Computer Vision, Traffic Sign Recognition, Autonomous Driving