标题： 基于Wi-Fi和GPS信号的机器学习入口位置检测方法 显示英文标题

标题： Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning

摘要： 本文旨在检测建筑物主入口的准确位置。 所提出的方法基于这样一个事实：当用户进入建筑物时，GPS信号会显著下降。 此外，由于大多数公共建筑提供Wi-Fi服务，因此可以利用接收到的Wi-Fi信号强度（RSS）来检测建筑物的入口。 本文背后的原理是，随着用户接近主入口，GPS信号会减弱，而Wi-Fi信号会在用户靠近主入口时增强。 为了保证所提出方法的可行性，进行了多项实际实验。 实验结果表明了一个有趣的结果，整个系统的精度达到一米。 显示英文摘要

摘要： This paper aims at detecting an accurate position of the main entrance of the buildings. The proposed approach relies on the fact that the GPS signals drop significantly when the user enters a building. Moreover, as most of the public buildings provide Wi-Fi services, the Wi-Fi received signal strength (RSS) can be utilized in order to detect the entrance of the buildings. The rationale behind this paper is that the GPS signals decrease as the user gets close to the main entrance and the Wi-Fi signal increases as the user approaches the main entrance. Several real experiments have been conducted in order to guarantee the feasibility of the proposed approach. The experiment results have shown an interesting result and the accuracy of the whole system was one meter