Our paper titled “Enhancing Generalization in Autonomous Driving: A Comparative Study of Data Augmentation Techniques” has been accepted for presentation at the TOK2024 conference. This study aims to comprehensively investigate the effects of different data augmentation methods on the generalization ability of models using driving scene data in autonomous driving systems.