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 explores the complexities of off-road vehicle dynamics, with a focus on the principles governing vehicle performance in challenging terrains. Students will develop a comprehensive understanding of the key factors affecting performance, including terrain classification, soil cohesion, and the influence of contaminated surfaces. Core topics include the fundamentals of off-road dynamics, tire–terrain interaction, vehicle mobility and performance, dynamics modeling, advanced simulation techniques, control and stability, powertrain and energy considerations, as well as emerging trends in the field.