Abstract

Aim: This paper details the design and development of an autonomous parking system that utilizes sensor fusion and control algorithms.
Methods: The system employs ultrasonic sensors for detecting obstacles and motor control for navigating movement. It features a modular framework that incorporates a Robot Hat, Raspberry Pi, and Arduino UNO, enabling straightforward hardware integration.
Results: Although challenges were encountered with LiDAR integration and steering mechanisms, the system successfully demonstrates obstacle detection and forward movement capabilities. The system is equipped with custom drive functions and a 3D-printed chassis to facilitate precise movements. Prototype results indicate enhanced accuracy and adaptability, contributing positively to the progression of autonomous vehicle technology.
Conclusion: This prototype confirms the feasibility of creating a low-cost self-parking system and identifies areas such as advanced sensor fusion, steering, and optimization for future enhancement. This project in this paper underscores the importance of iterative development and problem-solving in achieving long-term goals in the complex field of autonomous vehicles.

Key words: Autonomous Parking; Sensor Fusion; LiDAR, Control Algorithms; Self-Parking Vehicles; Autonomous Vehicles; Embedded Systems