Centimeter-Level Indoor Positioning With Facing Direction Detection for Microlocation-Aware Services
提出厘米级室内定位框架CLIP，利用现有监控摄像头和物联网实现高精度定位与面向方向检测，实验表明其精度比现有方法提升94.6%。
This study proposes a centimeter-level indoor positioning (CLIP) framework to achieve highly accurate localization with facing direction detection for the microlocation-aware Internet of Things (IoT). The CLIP framework can provide accurate centimeter-level positioning information to people indoors by integrating installed surveillance cameras with the IoT, where the efficient operation of microlocation-aware IoT applications and services can be enabled for smart spaces. CLIP can be used to accurately determine the position and facing direction of an individual. According to our review of relevant research, CLIP is the first indoor positioning framework that includes the following features: 1) centimeter-level positioning accuracy for the microlocation-aware IoT that can detect the facing direction of individuals; 2) employment of existing surveillance cameras with low-additional installation cost; and 3) innovative infrastructure for microlocation-aware IoT applications that can enable accurate centimeter-level path planning for individuals, emergency evacuation for groups of people, and geofencing with microlocation awareness. An Android-based system was implemented to verify the feasibility and effectiveness of the CLIP framework, and experimental results indicate that CLIP outperforms existing indoor positioning methods and can achieve centimeter-level accuracy with the improvement ratio of 94.6% over Sextant.