Developed and integrated a real-time traffic sign recognition feature within the OpenHUTB/nn repository, focusing on enhancing the perception stack of the Carla simulation environment. Leveraging Python, OpenCV, and deep learning techniques, the work centered on implementing a YOLOv8-based module capable of detecting traffic signs and triggering appropriate responses in the simulated vehicle control loop. The contribution included comprehensive documentation and demonstration materials, such as updated notes and run-effect videos, to support reproducibility and ease of use. This effort addressed the challenge of real-time perception in simulation, providing a robust foundation for further research in autonomous vehicle control and computer vision.