"Autonomous Driving and Intelligent Connected Vehicle Technology" serves as a core course for the intelligent connected vehicle technology major. Its content is highly advanced and closely follows the latest industry developments. The course is structured around the demands of typical positions in the pre- and post-market of intelligent connected vehicles, integrating cutting-edge technologies such as intelligent connected vehicle communication technology and ADAS applications. It fully aligns with new technologies, processes, and standards. In the field of intelligent sensors, it elaborately explains the structure, principles, and calibration and debugging skills of various sensors, including monocular, binocular, 360-degree surround view cameras, millimeter-wave radars, and lidars, enabling students to master the latest sensor technology applications. For instance, it conducts an in-depth analysis of the advantages, disadvantages, and application scenarios of lidar in intelligent vehicles, allowing students to understand its crucial role in autonomous driving.
In terms of path planning and decision control, it introduces advanced technologies and principles such as high-precision maps, combined positioning, and SLAM maps, and their applications. This enables students to be familiar with path planning algorithms based on these technologies, such as combined positioning path planning based on high-precision maps and path planning based on high-precision lidar SLAM maps, and to master the core technologies of intelligent connected vehicle decision control.
V2X technology is also a key focus of the course. It deeply analyzes the principles of vehicle-to-infrastructure and vehicle-to-vehicle communication and the debugging of collaborative systems, allowing students to understand how intelligent connected vehicles achieve efficient information exchange with the outside world and laying a foundation for their future participation in the construction of intelligent transportation systems. Additionally, the course covers emerging technologies such as OTA upgrades for intelligent vehicles and test site management systems, enabling students to have a comprehensive exposure to the latest industry knowledge and cultivating high-quality skilled talents who can adapt to the rapid development of the intelligent connected vehicle industry.
