基于蓝牙低功耗信标与粒子滤波的智能停车系统
Smart Parking System Based on Bluetooth Low Energy Beacons with Particle Filtering
AI总结：
针对城市停车需求增长的问题，提出基于BLE信标与粒子滤波的室内外通用智能停车系统，可实现车位导航、自动支付，经实验验证能准确识别停车位置并估算用户与信标距离。
摘要：
随着城市中心区域与人口密度不断扩张，人们对用于辅助规划与优化的新型应用的需求日益增长。本文提出了一套可同时在室内和室外运行的智能停车系统。该系统基于蓝牙低功耗（Bluetooth Low Energy，BLE）信标构建，并采用粒子滤波算法提升精度。通过与智能手机的简易BLE连接，设计并部署了一套直观易用的停车系统。所提出的系统将每个停车位与一个唯一的BLE信标配对，可为用户提供空闲停车位导航，并基于停车位的实时使用情况提供安全的自动化支付方案。研究开展了三组实验以验证系统的不同性能维度。为提升系统性能与结果可信度，系统实现了粒子滤波器。通过在室内外停车场开展的大量实验，该系统能够准确预测用户停放的具体车位，还能估算用户与信标之间的距离。
英文摘要：
Urban centers and dense populations are expanding, hence, there is a growing demand for novel applications to aid in planning and optimization. In this work, a smart parking system that operates both indoor and outdoor is introduced. The system is based on Bluetooth Low Energy (BLE) beacons and uses particle filtering to improve its accuracy. Through simple BLE connectivity with smartphones, an intuitive parking system is designed and deployed. The proposed system pairs each spot with a unique BLE beacon, providing users with guidance to free parking spaces and a secure and automated payment scheme based on real-time usage of the parking space. Three sets of experiments were conducted to examine different aspects of the system. A particle filter is implemented in order to increase the system performance and improve the credence of the results. Through extensive experimentation in both indoor and outdoor parking spaces, the system was able to correctly predict which spot the user has parked in, as well as estimate the distance of the user from the beacon.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
