Course Introduction:Application of Intelligent and Connected Vehicle Technology
Course Overview:
This course is designed to introduce students to the basic concepts, system architecture, and technological applications related to intelligent and connected vehicles (ICVs). It covers a wide range of topics, including:
Operating systems for vehicle systems
Sensor applications in vehicles
Positioning and navigation technologies
Communication technologies in connected vehicles
ROS-based software development
The course focuses on both theory and practical application, with a strong emphasis on the working principles and practical applications of in-vehicle sensors. Students will learn about key technologies such as:
Path planning and decision-making
Automotive bus and network technology:
Vehicle communication technology
The practical components of the course include:
Basic operation of computing platforms and operating systems
Sensor calibration and data acquisition
Road environment perception and SLAM (Simultaneous Localization and Mapping) technology
Multi-point navigation and more
By combining theoretical learning with hands-on practice, the course aims to:
Help students deeply understand the principles, technologies, and applications of intelligent connected vehicles.
Enhance practical operation abilities in areas such as vehicle hardware assembly, system maintenance, and software development.
Students will gain the necessary skills to work with smart vehicle systems, from hardware setup to complex vehicle software development.
Instructor: Zeng Ziming
Position: Associate Professor, School of Automobile and Transportation, Shenzhen Polytechnic University
Educational Background: PhD in Computer Science from Aberystwyth University
Research Focus: Unmanned Driving and Artificial Intelligence
Professional Recognition:
Recognized as a high-level talent by Shenzhen City.
Served as a mentor of entrepreneurship in Shenzhen City.
Research Contributions:
Principal investigator for 12 national, provincial, and municipal projects.
Published 33 papers indexed by SCI and EI.
Holder of 4 invention patents, 6 utility models, and 12 software copyrights.
Achievements in Competitions:
Guided students to win the first prize at the National Vocational Skills Competition in the Intelligent Connected Vehicle Technology category in 2023.
Awarded the Excellent Instructor Award for this achievement.
Led students to multiple first prizes at the Guangdong Vocational Skills Competition in the same category.
Textbook Contributions:
Edited and published the textbook "Intelligent Connected Vehicle ROS Practical Introduction".
