This course provides an overview of autonomous vehicles. The overall architecture of autonomous driving systems, the various levels of autonomous driving technologies, and the state‐of‐the‐art of autonomous driving technologies will be discussed. Topics covered include: advanced driver assist systems and active vehicle safety systems; sensors and sensor fusion; computer vision basics and deep learning for perception; localization and mapping; vehicle‐to‐vehicle and vehicle‐to‐everything communication technologies; navigation and vehicle control; and system reliability, stability, and limitations.
This course introduces the fundamental concepts of vibrations, free, damped, and forced vibration of single and multi-degree of freedom systems with discrete masses; various types of damping and vibration absorption techniques. Furthermore, students will learn about the quarter and half vehicle models, human response to vibration, and vehicle ride models. Finally, students will understand random vibration, international ride standard ISO 2631, active and semi-active suspensions.
This advanced course delves into the complexities of race car dynamics, focusing on the principles that govern the performance of vehicles at extreme speeds. Students will gain a comprehensive understanding of the factors influencing a race car's behavior, including aerodynamics, suspension systems, tire mechanics, and vehicle stability. Key topics include the problem imposed by racing, vehicle dynamics fundamentals; aerodynamics in racing; tire mechanics; chassis dynamics; vehicle stability and control; lap time simulation, and advanced control systems.