论文标题
基于蓝牙低能信标的智能停车系统和粒子过滤
Smart Parking System Based on Bluetooth Low Energy Beacons with Particle Filtering
论文作者
论文摘要
城市中心和密集人口正在扩大，因此，人们对新型应用的需求不断增长，以帮助计划和优化。在这项工作中，引入了室内和室外运营的智能停车系统。该系统基于蓝牙低能（BLE）信标，并使用粒子过滤来提高其准确性。通过与智能手机的简单BLE连接，设计和部署了直观的停车系统。拟议的系统将每个位置与独特的BLE信标配对，为用户提供了免费停车位的指导，并根据停车空间的实时使用来提供免费的，自动化的付款计划。进行了三组实验以检查系统的不同方面。实现粒子过滤器，以提高系统性能并提高结果的信任性。通过在室内和室外停车位进行广泛的实验，该系统能够正确预测用户停放的位置，并估算用户与信标的距离。
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.
