Fuzzy Logic based Autonomous Parking Systems -- Part I: An Integrated Multi-functional System
Yu Wang, Xiaoxi Zhu

TL;DR
This paper introduces an integrated fuzzy logic-based autonomous parking system that combines slot detection, parking, and real-time monitoring to enhance parking efficiency and safety.
Contribution
It presents a novel multi-functional parking system with a fuzzy logic onboard component and control center for improved autonomous parking capabilities.
Findings
Successful implementation of slot detection and parking modes
Real-time monitoring reduces error rates
Enhanced multi-functionality over existing systems
Abstract
This paper presents an intelligent autonomous parking system with multi-functions. The integrated system consists of two sub-systems, namely the Fuzzy-Based Onboard System and control center. Unlike most current auto-parking experiments, this FBOS enables the car to perform both slot detection and parking under two different parking modes. Facilitated by the control center, real-time monitoring is also achieved to reduce chances of error.
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Taxonomy
TopicsSmart Parking Systems Research · Robotic Path Planning Algorithms · Control and Dynamics of Mobile Robots
