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.
Total vehicle dynamics; dynamical properties of vehicle parts; the longitudinal, lateral and vertical dynamics; mathematical models of vehicles to predict their road performance; selection of important powertrain parameters (e.g. transmission characteristics) to coordinate the requirements of tractive performance and fuel economy; suppression of forces, moments, and movements under external road disturbances; steady-state handling and vehicle directional behavior; introduction to active suspension systems, traction control, and yaw moment control; introduction to advanced vehicle control systems for intelligent vehicle-highway systems.
This course briefly introduces advanced tire mechanics and interaction, including hard and soft soil. Emphasis will be placed on the basic mechanics governing the vehicle’s directional, tractive, braking, and ride performance on both road and off-road terrains. Steering and steady state handling characteristics of wheeled vehicles will also be introduced and analyzed. The state-of-the-art approaches to designing syntheses of automotive vehicles will also be discussed through students’ projects. This course will help prepare the students for the research and development of modern road vehicles.