Towards The First Global Indoor Positioning System Using Geometric Modeling and Advanced Artificial Intelligence Techniques

我们进行了全面的文献回顾，以确定最先进的方法并建立坚实的研究基础。我们建立了三个带有WiFi接入点和移动设备的试验台，为我们的实验提供了可靠的基础设施。开发移动应用程序是为了使用不同的Android手机和个人收集数据，确保得出可靠的结果。考虑到硬件多样性，数据分析技术揭示了用户位置和WiFi信号传播之间的关系。我们还开发了应对不同场景下的本地化挑战的方法。严格的验证过程被用来确保我们结果的可靠性。我们在有声誉的国际期刊上发表论文，并在顶级会议上发表论文。

We conducted a comprehensive literature review to identify state-of-the-art approaches and establish a strong research foundation. We established three testbeds with WiFi access points and mobile devices, providing a reliable infrastructure for our experiments. Mobile App was developed to collect data using different android phones and individuals, ensuring robust findings. Data analysis techniques revealed insights into the relationship between user location and WiFi signal propagation, considering hardware diversity. We also developed methods to address the localization challenges in different scenarios. Rigorous validation processes were employed to ensure the reliability of our results. We published papers in reputable international journals and presented at top-tier conferences.