Sensor Fusion Applications for Navigation and Indoor Positioning
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 25 December 2024 | Viewed by 297
Special Issue Editor
Interests: sensor fusion for surveying, navigation and perception; robotics and intelligent systems; environmentally friendly transportation and housing; GNSS, IMU, vision and laser sensors modelling and data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Indoor positioning has many applications, including in navigation, asset tracking, wayfinding, and location-based advertising. The proliferation of indoor positioning has enabled rapid enhancements in these applications, not only in homes, businesses, and medical services, but also for factory automation. Positioning is the core factor that impacts implementation and performance. There are many characteristics that make indoor positioning different from outdoor positioning. In comparison with outdoor environments, indoor environments are more complex an contain multiple objects (such as pieces of equipment, walls, and people) that block GNSS signals, and lead to multi-path and signal delay problems. There are many sensors that can be used for indoor positioning, but all of them have some limitations. Therefore, sensor fusion is employed to combine measurements from multiple sensors for improved positioning accuracy and reliability.
We encourage authors from academia and industry to submit new research results related to sensor fusion for indoor positioning and navigation. The topics include but are not limited to the following:
- Multiple sensors:
- Wi-Fi, Bluetooth, ultra-wideband (UWB), radio frequency identification (RFID), etc.
- Computer vision, light detection and ranging (Lidar), maps or landmarks, etc.
- Odometers, inertial measurement units (IMUs), magnetic sensors, etc.
- Sensor fusion methods:
- Fusion levels: raw data; detections; tracks, etc.
- Fusion algorithms: KF, EKF, UKF, CNN, fuzzy logic, etc.
- Indoor positioning applications: navigation, asset tracking, wayfinding, etc.
Dr. Jianguo Jack Wang
Guest Editor
Manuscript Submission Information
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Keywords
- indoor positioning
- sensor fusion
- fusion levels
- fusion algorithms
- positioning sensors
- indoor positioning systems and applications
