Radio Frequency Identification (RFID) is a wireless technology that uses electromagnetic fields to automatically identify and track tags attached to objects, where readers emit radio signals that power passive tags or communicate with active tags to retrieve stored identification data. In the context of indoor sensing and localization, RFID matters because it represents one of the foundational hardware alternatives to WiFi-based systems, enabling proximity detection, asset tracking, and coarse-grained positioning without requiring the target to carry active transmission hardware. Key variants include passive RFID, which relies entirely on energy harvested from the reader's signal and is widely used in low-cost tagging applications, and active RFID, which incorporates an onboard power source to support longer read ranges and more frequent broadcasts, making it more suitable for real-time indoor tracking scenarios.
Source Papers
- A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches ↗ — A Standard Indoor Spatial Data Model—OGC IndoorGML and Imple
- NeRF2: Neural Radio-Frequency Radiance Fields ↗ — NeRF2: Neural Radio-Frequency Radiance Fields
- WiFi CSI-based device-free sensing: from Fresnel zone model to CSI-ratio model ↗ — WiFi CSI-based device-free sensing: from Fresnel zone model