This study aims to develop an autonomous driving-based system for the automatic monitoring and enforcement of illegal parking in urban areas. The system is built on a small, four-wheel-drive autonomous robot that navigates by recognizing road-edge lines. Using line sensors mounted on its underside, the robot detects lane markings and controls its steering mechanism to perform smooth, vehicle-like turns, allowing for natural, curved path adjustments instead of abrupt right-angle rotations. In addition, the system integrates ultrasonic sensors for obstacle avoidance and an ESP32-CAM-based camera module for license plate recognition, enabling real-time detection of illegally parked vehicles. The detected information is transmitted to a server for recording and further response, thereby overcoming the limitations of conventional manpower-based enforcement and contributing to a more efficient and sustainable urban traffic management system.

• 김삼연(Professor, Department of Mechanical Engineering, Jeonju University, Republic of Korea) | Samyeon Kim Corresponding author
• 정유빈(Department of Mechanical Engineering, Jeonju University, Republic of Korea) | Yubin Jeong
• 이정원(Department of Mechanical Engineering, Jeonju University, Republic of Korea) | Jungwon Lee
• 박현준(Department of Mechanical Engineering, Jeonju University, Republic of Korea) | Hyeon jun Park