Intelligent vehicles can communicate with other vehicles or roadside units and behave autonomously. They are believed to significantly change the way that people move from a place to another place. This class will introduce fundamental knowledge in intelligent vehicles and then focus on some specific advanced topics (e.g., security). The knowledge and topics will bring state-of-the-art technology to students and develop their skills in system modeling, design, and analysis. There are mainly four parts in this class: (1) Background: This part will introduce traditional (i.e., without connectivity and autonomy) system architecture, vehicular networks, and basic design and analysis approaches. (2) Applications: This part will introduce applications of intelligent vehicles, including advanced driver-assistance systems, cooperative adaptive cruise control, and intersection management. (3) Technology: This part will introduce the technology which is needed to realize the applications of intelligent vehicles. (4) Advanced Topics: This part will introduce advanced topics such as over-the-air update, security, and certification. Depending on students' interests, final projects can be survey, implementation, or research.

．Understanding the traditional system architecture and networks. ．Understanding the state-of-the-art applications and technology of intelligent vehicles. ．Developing skills in system modeling, design, and analysis. ．Using or implementing simulation or analysis tools. ．Conducting preliminary research.