Multi‐sensors for Indoor Localization and Tracking: 2nd Edition

Dear Colleagues,

There is an increasing interest in indoor positioning due to the rapid growth of location-aware applications, such as city recommendation systems and robot navigation. Although GPS is widely used in outdoor environments, it cannot be applied in indoor scenarios as satellite signals are easily reflected and diffracted by city buildings. A large number of researchers are focusing on localization in GPS-denied environments with various sensors (for example, radio frequency, visual, LiDAR, IMU, and acoustic). Localization in a given infrastructure (i.e., known map or distribution of anchors) has been widely studied. These approaches either require deploying a number of dedicated devices or need a tedious phase to collect radio fingerprints as a representation of a map of the environment. To address this problem, researchers have developed a solution called simultaneous localization and mapping (SLAM), which allows us to simultaneously localize a mobile device and generate a map of the unknown environment.

This Special Issue will address localization and tracking leveraging the power of sensor fusion based on recent techniques. This includes positioning, tracking, indoor mapping, and location-aware applications. 

Topics of interests include, but are not limited to, the following:

• Simultaneous localization and mapping in robotics;
• Emerging sensors for indoor localization and tracking;
• Localization algorithms and implementations;
• Sensor fusion techniques on localization and tracking;
• Machine learning for indoor localization;
• Localization and tracking for the Internet of Things;
• Location-based services and applications.

Dr. Ran Liu
Dr. Pik Lik Billy Lau
Dr. Jianwen Huo
Guest Editors

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• indoor localization and tracking
• radio-based localization
• sensor fusion
• dead reckoning
• acoustic sensors
• Internet of Things
• smart city
• SLAM

• Multi‐Sensors for Indoor Localization and Tracking in Sensors (9 articles)