Graduation Project: Autonomous Parking System with Smart Parking
Developed an autonomous vehicle parking system integrating smart space management, reducing manual
parking effort by 90%. Utilized Raspberry Pi 4 for real-time image processing and decision-making and ESP8266 for wireless
communication between system modules. Implemented computer vision algorithms for space detection and navigation, enhancing accuracy in
obstacle avoidance and slot recognition. Applied self-driving logic to enable automated path planning and parking execution, achieving an 85%
success rate in various parking scenarios.