This project is a simple autonomous race car developed for the Formula Student Driverless Simulator. The car uses LIDAR as its primary sensor for perception and navigation. It is built on ROS2 (Robot Operating System 2) for communication, control, and decision-making.
The goal of the project is to enable the car to navigate a race track autonomously by processing LIDAR data to detect obstacles, plan paths, and make driving decisions in real-time. The system focuses on simplicity and efficiency, leveraging ROS2's modular architecture for seamless integration of perception, planning, and control components.
By working on this project, you'll gain hands-on experience with autonomous systems, LIDAR-based perception, ROS2, and simulation environments, preparing you for advanced robotics and autonomous vehicle development.
Due to an existing bug in the simulation, the car experiences a sudden and unintended acceleration when the throttle input exceeds a certain threshold. This behavior can cause instability in speed control during autonomous operation.