Novel Sensors and Sensing Technologies in Indoor Localization and Mapping Targeting Challenging Environment

Dear Colleagues,

Indoor localization and mapping (ILM) in challenging environments, such as those with low lightning or dense clutter, extreme temperatures, humidity, or radiation levels, presents unique challenges that require novel sensors and sensing technologies to overcome. Some of these technologies include:

• Fiber Optic Sensors: These sensors are ideal for harsh environments as they are immune to electromagnetic interference and can withstand extreme temperatures, humidity, and radiation levels.
• Radio Frequency Identification (RFID): RFID sensors can withstand harsh environments and can be used for asset tracking and indoor localization in environments with high temperatures or radiation levels.
• Thermal Imaging Cameras: These cameras can detect and visualize temperature differences in harsh environments and can be used for building automation and monitoring of equipment or processes.
• Time-of-Flight (ToF) Cameras: These cameras use infrared light to measure the distance between the camera and objects in the environment, which work well in low-light conditions and can generate accurate depth maps.
• Acoustic Sensors: Acoustic sensors can be used for indoor localization and mapping in harsh environments where other sensors may not be suitable. For example, ultrasonic sensors can be used to detect the location of objects in industrial environments with high noise levels.
• Chemical Sensors: Chemical sensors can be used to detect the presence of gases, liquids, or other substances in harsh environments.
• LiDAR Sensors: These sensors use laser beams to create a 3D map of the environment, which can work in a variety of lighting conditions and can detect objects even in cluttered environments.

Overall, these novel sensors and sensing technologies have the potential to greatly improve ILM in challenging indoor environments and can enable a wide range of applications in fields such as robotics, automation, and security.

This Special Issue invites submissions of original research and novel work on ILM, covering a wide range of areas such as:

• Design of novel sensors in ILM;
• Sensor fusion for ILM;
• Remote sensing or IoT-based ILM;
• ILM for robotics;
• ILM for industrial automation;
• ILM in security;
• ILM with AI;
• ILM for healthcare;
• Wearable sensing for ILM.

Dr. Boon Giin Lee
Guest Editor

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