In this project, I built an autonomous patrol robot for smart parking enforcement using ROS2, Gazebo, and SLAM. The robot autonomously navigates a simulated parking lot, detects wrongly parked vehicles using sensor fusion (Lidar + camera) and rule-based logic, and reports violations in real time through a ROS2 event system. The project involved implementing SLAM Toolbox for mapping and localization, the ROS2 Navigation Stack for path planning, and Gazebo–RViz integration for visualization.

This project provided practical experience with ROS2 nodes, sensor fusion, and autonomous navigation, combining computer vision and robotics to design an intelligent parking enforcement system capable of operating autonomously in dynamic urban settings.