Current Research in Indoor Positioning and Localization
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 186
Special Issue Editors
Interests: computer network; wireless communication; deep learning; indoor positioning technology
Interests: wireless positioning techniques; mobile positioning and tracking; mobile computing
Interests: indoor localization and tracking; Wi-Fi fingerprinting; machine learning; Internet of Things
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Special Issue Information
Dear Colleagues,
Indoor navigation is no longer science fiction. Researchers are making significant strides in developing accurate and versatile indoor positioning systems (IPSs). This Special Issue dives into the cutting edge of IPSs, exploring new techniques and applications.
- Ultra-Wideband (UWB): a high-bandwidth technology offering centimeter-level accuracy.
- Sensor Fusion: combining data from multiple sensors (Wi-Fi, Bluetooth, cameras) for more robust positioning.
- Deep Learning: using artificial intelligence to analyze signal patterns and improve location estimation.
- Angle of Arrival (AoA): determining the direction of a signal source for more precise localization.
- Indoor Navigation: providing guidance within buildings using real-time location data.
- Real-Time Locating Systems (RTLSs): tracking the location of objects or people indoors.
- Fingerprinting: creating a unique "fingerprint" of signal signatures at different locations.
- Challenge of Multipath Interference: signal bouncing off objects, affecting accuracy.
- Indoor LiDAR: Using light detection and ranging for 3D indoor mapping.
Prof. Dr. Shengcheng Yeh
Dr. Yih-Shyh Chiou
Prof. Dr. Bang Wang
Guest Editors
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Keywords
- ultra-wideband (UWB)
- sensor fusion
- deep learning
- angle of arrival (AoA)
- indoor navigation
- real-time locating system (RTLS)
- fingerprinting
- challenge of multipath interference
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