Multi-Sensor Fusion for Indoor Localization
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 3423
Special Issue Editors
Interests: computer networks and pervasive computing; IoT; smart environments; indoor localization
Interests: Internet of Things; wireless sensor networks; RFID; wireless robots networks; services (localization, neighbor discovery, etc)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The first iPhone was released over a decade ago, triggering the smart-device revolution and placing powerful communication, computing, and sensing devices in our hands. Leveraging the multi-dimensional capabilities of smart devices has paved the way for a new generation of highly personalized and context-aware services. A fundamental building block, indoor localization has emerged as a major scientific and technological challenge. The solution space has grown richer over time, to include a variety of underlying sensor technologies – RF, IMU, acoustic, etc. – as mobile computing devices have evolved to include smartphones, tablets, RFID tags, wearables, and even micro-implants.
This Special Issue will bring together the latest research that leverages the multitude of sensors to address indoor localization challenges across the universe of smart devices and objects. This includes automatic indoor mapping, positioning, navigation, and tracking. There will be an emphasis on articles that introducing novel ideas and algorithms coupled with clever engineering using real-life prototype implementations and evaluations.
Topics of interests include, but are not limited to, the following:
- Sensor fusion algorithms and implementations
- Applications of machine learning to indoor localization
- Localization and Internet of Things
- Emerging localization and sensor-based applications
- Emerging sensors for indoor localization
- 3D localization
- Localization of battery-free devices
- In-body localization
Prof. Dr. Gentian Jakllari
Dr. Nathalie Mitton
Guest Editors
Manuscript Submission Information
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Keywords
- Indoor localization
- radio localization
- sensor fusion
- dead reckoning
- IMU sensors
- acoustic sensors
- motion tracking
- Internet of Things
- machine learning
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