NOVA Research Involvement
I am an active member of the NOVA research group, which focuses on advancing autonomous driving technologies. As part of this program, we have developed a fully functional vehicle prototype, equipped with cutting-edge sensors, AI-driven systems, and advanced algorithms for real-world autonomous navigation.
Our work aims to push the boundaries of autonomous vehicle research, leveraging deep learning, robotics, and state-of-the-art machine learning techniques to solve complex problems in the field.
Brake Light Detection
One of my key contributions to the NOVA program is the development of a brake light detection system. This system utilizes YOLOv8, a state-of-the-art object detection model, to identify and classify braking behaviors of vehicles in real-time. By integrating this with ROS2, we aim to enhance the decision-making capabilities of our autonomous vehicle prototype.
Base images and dataset courtesy of IM Lab, Kookmin University via Roboflow Universe, licensed under
CC BY 4.0. Annotations created using YOLOv8 by Sai Peram.
Dataset link:
Brake-Light-Detection Dataset