Our paper titled “A Unified Monocular Vision-Based Driving Model for Autonomous Vehicles with Multi-Task Capabilities” has been accepted for publication in IEEE Transactions on Intelligent Vehicles (T-IV)!, a Q1 journal (ranked 6/204 in Computer Science, Artificial Intelligence) with an Impact Factor of 14.3!

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.

I have been appointed as an Associate Editor for the IEEE Robotics and Automation Letters (RA-L).

I will be giving a tutorial titled “Visual-based Prediction of Control Commands in Autonomous Driving Systems” at the TOK2024 conference.

I will be giving a presentation titled “Applications of Artificial Intelligence” at RACLAB Mid-Term Camp.