Developed the software for an autonomous F1-Tenth vehicle, focusing on mapping and navigation. We created a system that could detect road signs with high accuracy, ensuring the vehicle followed road rules

Developed the software for autonomous mapping of an F1-Tenth vehicle using ROS2, Jetson, and over 900 lines of Python code for real-time navigation and mapping.

Implemented YOLOv5 and Vicon for 97% accurate road sign detection and mapping, ensuring reliable adherence to traffic signs.

Fused map data with A search algorithms* for real-time shortest path navigation, achieving 85% task completion through accurate route optimization.

Utilized Monte Carlo Localization to verify vehicle position, enhancing the accuracy and performance of autonomous driving.

Engineered real-time lane detection using computer vision (OpenCV) techniques, adjusting for variable lighting conditions, and incorporating a PID controller to refine steering angles and enhance path accuracy.