Local Positioning Systems
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2147
Special Issue Editors
Interests: localization; wireless sensor networks; artificial intelligence; evolutionary computation; algorithms; Industry 4.0; manufacturing; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: localization; wireless sensor networks; artificial intelligence; evolutionary computation; algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: manufacturing; process optimization; process planning; industry 4.0; collaborative robots; local positioning systems (LPS); localization; automated guided vehicle (AGV); artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Local positioning systems (LPS) have attracted a large amount of research interest over the last few years. Their use in highly demanded accuracy tasks allows the optimal performance of technological systems in harsh environments in which global navigation satellite systems cannot provide a stable accurate target location. Consequently, the deployment of alternative localization systems based on ad-hoc solutions to the singularities of the application scenario is critical to achieve optimal accuracy results. LPS includes a variety of applications such as surveillance, indoor localization, autonomous navigation, underwater positioning, pedestrian localization, robotics, search and rescue operations or low-level flights. LPS employ a wide range of localization methods classified through the physical property measured to determine the target localization: time, frequency, phase, power, angle or combinations of them. This Special Issue is devoted to the progress of this incipient field and to the dissemination of research results in this research community. Topics may include but are not limited to the following:
- Localization sensor networks
- Acoustic source positioning
- Asynchronous positioning systems
- Underwater localization
- Energy-based systems
- Angle-of-arrival
- Node location problem in wireless sensor networks
- Crámer–Rao bound error models
- Autonomous navigation
- Semantic visual localization
- Sensor fusion techniques
- GNSS-denied environments localization
- Taylor-based localization algorithms
- Closed-form localization algorithms
- Ultrawide band localization
- Indoor navigation
Dr. Hilde Perez
Dr. Javier Díez-González
Dr. Rubén Álvarez
Guest Editors
Manuscript Submission Information
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Keywords
- Localization
- Wireless sensor networks
- Time of arrival (TOA)
- Time difference of arrival (TDOA)
- Asynchronous time difference of arrival
- Node location problem
- Angle of arrival (AOA)
- Hybrid localization models
- Crámer–Rao bound
- Taylor-based localization algorithms
- Closed-form localization algorithms
- Sensor fusion localization
- Ultrawide band localization
- Energy-based positioning systems
- Received signal strength (RSI) systems
- Visual navigation
- Autonomous vehicles
- Fingerprinting localization
- Line of sight (LOS)
- Non-line of sight (NLOS)
- Clock error models
- Target coverage problem
- Artificial intelligence
- Optimization
- Indoor localization
