Indoor Navigation: Indoor Positioning System Using Sensing Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 1694
Special Issue Editor
Interests: machine learning; pattern recognition; computer graphics; sensor fusion; indoor localization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Location-based services play a crucial role in our daily lives, aiding in navigation for vehicles and pedestrians. However, significant portions of our activities occur indoors—whether at home, work, shopping malls, museums, or during travels. Traditional outdoor navigation technologies, such as Global Navigation Satellite Systems, are ineffective indoors due to weak signal reception, posing a challenge for context-aware services vital for social networking, advertising, recommendation systems, and healthcare.
Indoor positioning systems address this challenge by leveraging a variety of sensing technologies, including Wi-Fi, Bluetooth, RFID, Ultra-Wide Band, and IMU sensors. The complexity of indoor environments, combined with human motion patterns and uncertain sensor data, necessitates modeling indoor positioning with powerful mathematical models (typically non-linear and non-Gaussian) to accurately predict pedestrian locations.
Sensor fusion plays a pivotal role by integrating data from multiple sensors, improving accuracy and reliability. This Special Issue explores innovative approaches in indoor navigation and positioning using advanced sensing technologies. Researchers are invited to contribute their cutting-edge findings, focusing on solutions that combine various sensing technologies to enhance the effectiveness of indoor positioning systems.
Prof. Dr. Frank Deinzer
Guest Editor
Toni Fetzer ([email protected])
Guest Editor Assistant
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Keywords
- indoor navigation
- positioning systems
- sensing technologies
- sensor fusion
- Wi-Fi/bluetooth
- ultra-wideband
- inertial measurement unit
- non-linear systems
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