SUMMARY
Smart car is an academic competition held for cultivating college students' engineering ability in China for 16 years. To improve the performance of smart cars, this study integrates engineering education topics by introducing a smart car system with regard to the selection of key components, design of hardware and circuit boards, processing of sensor signals, as well as assembly, algorithms, and control. After completing this engineering education, students could achieve better results in the academic competition. According to the K model rules of the 16th smart car competition, a self-balancing autonomous tracking bicycle based on steering gear control is designed and developed. A gyroscope is used to detect the posture of the bicycle. It inductively receives the centerline of the track and then combined with the PID control algorithm realizes the autonomous tracking. The whole process from mechanical structure optimization and electronic circuit design to algorithm design, debugging, and competition runs through the CDIO of engineering education, realizing the cultivation of compound engineering innovative abilities.To cite this article: J. Sui, C. Wang, M. Chen, P. Zuo and S. Shen, “Design of Self-Balancing Tracing Bicycle for Smart Car Competition Case Under Engineering Education,” in CIT. Journal of Computing and Information Technology, vol. 29, no. 1, pp. 13–26, 2022, doi: 10.20532/cit.2021.1005304.