This indoor positioning technology integrates multi-source sensors from smartphones (including WiFi fingerprinting, MEMS inertial navigation, accelerometers, and magnetometers) and employs a dynamically weighted adaptive Kalman filtering algorithm to construct a highprecision positioning system. By establishing spatial mapping relationships between 3D wireless signal fingerprint maps and architectural BIM models, it achieves mobile high-precision realtime positioning, providing core technical support for accurate indoor navigation.

Technology provider:Xi'an Jiaotong University Technology Transfer Center