Integrated Detection of Traffic Signs and Lane Changes Using Deep Learning for Autonomous Driving Systems

Abstract: This research presents a modular deep learning- based pipeline designed to integrate traffic sign detection, lane segmentation, and lane change prediction for autonomous driv- ing. ThesystemutilizesYOLOv8 forobjectdetection (trafficsigns andspeedbreakers),andYOLOv8-segforlanesegmentation. A custom logic module processes lane masks for accurate lane changeprediction,whileGoogleText-to-Speech(gTTS)generates audio alerts. The pipeline supports real-time performance with GPU acceleration and processes videos offline with visual and verbalfeedback.Resultssuggesthighprecisionindetection and practical application for advanced driver assistance systems (ADAS).