Course Code: MENG 3530
Academic Year: 2024-2025
Students embark on a dynamic learning adventure in the Autonomous Vehicles course, where they explore fundamental concepts, technologies, and methodologies shaping the realm of autonomous systems. Through hands-on projects, participants apply the latest hardware and sensors to design and implement autonomous vehicle systems. Key topics encompass longitudinal and lateral control design, environment interpretation with LiDAR sensors, and state estimation using Kalman filters. The course extends into practical applications within the Robot Operating System 2 (ROS 2), emphasizing speed and steering control. Addressing real-world challenges, such as path planning algorithms, students actively engage in problem-solving exercises and collaborative projects. Students immerse themselves in the future of autonomous vehicles, refining integration skills and navigating the evolving landscape of this transformative technology.