AIPS: Wi-Fi Aware based Infrastructure-Free Indoor Positioning System with Fine Time Measurement
Junyoung Choi, Jinwook Seo, Joohyun Lee
摘要
Indoor Positioning System (IPS) is essential for enabling location-based services in complex environments such as malls and airports. However, traditional methods struggle with cost and scalability, requiring either expensive infrastructure or labor-intensive data collection. We propose a Wi-Fi Aware-based IPS, called AIPS, a fully infrastructure-free localization system that combines Wi-Fi Aware-based peer-to-peer ranging with an inertial measurement unit, global navigation satellite system, and AI-driven indoor/outdoor detection. The system opportunistically collaborates with nearby mobile devices and leverages transaction events from mobile payment to build self-generating radio maps. To ensure the robustness of localization, AIPS adaptively switches between advanced least square and extended particle filters depending on the number of nearby mobile devices. AIPS achieves 2.62 m accuracy with a minimal battery energy cost of 0.2% per hour, offering a self-evolving and commercially viable solution for next-generation positioning.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- WiMU: Real-time Indoor Localization via Wi-Fi/IMU Fusion with Minimal Site SurveyQirui Yang, Huatao Xu, Mengxuan Song, Mo LiUbiComp 2026 · 被引用 1 次
- WBF-PS: WiGig Beam Fingerprinting for UAV Positioning System in GPS-denied EnvironmentsPei-Yuan Hong, Chi-Yu Li, Hong-Rong Chang, YuanHao Hsueh 等INFOCOM 2020 · 被引用 14 次
- LocAP: Autonomous Millimeter Accurate Mapping of WiFi InfrastructureRoshan Sai Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Shrivatsan Rajagopalan 等NSDI 2020 · 被引用 42 次
- WiMap: Autonomous Wi-Fi Mapping for Device-free Tracking in Smart HomesRenrui Tan, Tu Hong, Yichen Tian, Xinyu Tong 等UbiComp 2026 · 被引用 7 次
- Deep learning based wireless localization for indoor navigationRoshan Sai Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Sanatan Sharma 等MobiCom 2020 · 被引用 221 次
