Camera-based real-time and localization of vehicles

Developed and implemented an autonomous driving feature enabling path planning and V2X communication in a 1:14 scale driving environment. Utilized a hall-mounted camera system with computer vision algorithms for vehicle localization and trajectory tracking. Created a track-specific dataset and trained a YOLO-based deep learning model for real-time object detection. Integrated a Kalman filter for object tracking and state estimation, enhancing detection stability and temporal consistency across frames.