Instructor: Xugui Zhou, xuguizhou@lsu.edu, Office: PFT 3330H Office Hour: TBD
Time: Tu/Th 10:30-11:45 am
Location: Patrick F. Taylor Hall 1216
This graduate-level course explores the role of Artificial Intelligence (AI) in the design and development of autonomous driving systems. Students will gain a deep understanding of how AI-driven technologies enable autonomous vehicles to perceive, reason, and act in complex, dynamic environments. The course covers essential topics such as machine learning, computer vision, sensor fusion, decision-making, path planning, and real-time control for autonomous driving.
Through a combination of theoretical lectures, research paper discussions, and hands-on projects, students will explore the key algorithms and architectures that power modern autonomous vehicles. The course also addresses safety, ethical, and regulatory challenges, along with industry trends in autonomous driving technology.
By the end of the course, students will be equipped to design, implement, and evaluate AI-driven solutions for autonomous vehicles. This course prepares students for advanced research or careers in autonomous driving, intelligent transportation, and related industries.