Advanced Localization System: From Theory to Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 3080

Special Issue Editor


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Guest Editor
Department of AI Data Engineering, Korea National University of Transportation, Uiwang-si 16106, Republic of Korea
Interests: state estimation; localization; target tracking
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Special Issue Information

Dear Colleagues,

Localization systems are systems that provide information on the positions of human, robot, and equipment to the users, and they have been used in various fields, such as factories, construction sites, and hospitals. In the future, localization systems will be used for more diverse fields, and more advanced localization systems will be needed. In recent years, the emerging Internet of Things (IoT) has accelerated research on advanced localization technologies because it requires accurate and reliable position information of various digital devices in cluttered indoor spaces. Localization systems typically use measurements of wireless signals, such as WiFi and UWB, and they are related to the fields of wireless communications. To compute the coordinates of targets, localization systems use some mathematical tools, such as least square methods or state estimation algorithms, which are related to the mathematical/control theory. In addition, localization systems are essential parts in the navigation of unmanned aerial/ground vehicles. Since the localization systems are related to the recently emerging technologies, we need to investigate state-of-the-art localization algorithms and their applications.

This Special Issue focuses on the recent developments of advanced localization systems, from theory to application. The specific topics of interest can include but are not limited to:

  • Wireless communication technologies for advanced localization systems;
  • Advanced localization algorithms;
  • Applications of localization systems.

Dr. Jung Min Pak
Guest Editor

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Keywords

  • localization
  • navigation
  • positioning
 

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Published Papers (2 papers)

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Research

15 pages, 2450 KiB  
Article
A Dynamic UKF-Based UWB/Wheel Odometry Tightly Coupled Approach for Indoor Positioning
by Ang Liu, Jianguo Wang, Shiwei Lin and Xiaoying Kong
Electronics 2024, 13(8), 1518; https://doi.org/10.3390/electronics13081518 - 17 Apr 2024
Viewed by 1006
Abstract
The centimetre-level accuracy of Ultra-wideband (UWB) has attracted significant attention in indoor positioning. However, the precision of UWB positioning is severely compromised by non-line-of-sight (NLOS) conditions that arise from complex indoor environments. On the other hand, odometry is widely applicable to wheeled robots [...] Read more.
The centimetre-level accuracy of Ultra-wideband (UWB) has attracted significant attention in indoor positioning. However, the precision of UWB positioning is severely compromised by non-line-of-sight (NLOS) conditions that arise from complex indoor environments. On the other hand, odometry is widely applicable to wheeled robots due to its reliable short-term accuracy and high sampling frequency, but it suffers from long-term drift. This paper proposes a tightly coupled fusion method with a Dynamic Unscented Kalman Filter (DUKF), which utilises odometry to identify and mitigate NLOS effects on UWB measurements. Horizontal Dilution of Precision (HDOP) was introduced to assess the impact of geometric distribution between robots and UWB anchors on UWB positioning accuracy. By dynamically adjusting UKF parameters based on NLOS condition, HDOP values, and robot motion status, the proposed method achieves excellent UWB positioning results in a severe NLOS environment, which enables UWB positioning even when only one line-of-sight (LOS) UWB anchor is available. Experimental results under severe NLOS conditions demonstrate that the proposed system achieves a Root Mean Square Error (RMSE) of approximately 7.5 cm. Full article
(This article belongs to the Special Issue Advanced Localization System: From Theory to Applications)
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16 pages, 9302 KiB  
Article
Visible Light Positioning-Based Robot Localization and Navigation
by Moi-Tin Chew, Fakhrul Alam, Frazer K. Noble, Mathew Legg and Gourab Sen Gupta
Electronics 2024, 13(2), 368; https://doi.org/10.3390/electronics13020368 - 16 Jan 2024
Viewed by 1520
Abstract
Visible light positioning or VLP has been identified as a promising technique for accurate indoor localization utilizing pre-existing lighting infrastructure. Robot navigation is one of the many potential applications of VLP. Recent literature shows a small number of works on robots being controlled [...] Read more.
Visible light positioning or VLP has been identified as a promising technique for accurate indoor localization utilizing pre-existing lighting infrastructure. Robot navigation is one of the many potential applications of VLP. Recent literature shows a small number of works on robots being controlled by fusing location information acquired via VLP that uses a rolling shutter effect camera as a receiver with other sensor data. This paper, in contrast, reports on the experimental performance of a cartesian robot that was controlled solely by a VLP system using a cheap photodiode-based receiver rigidly attached to the robot’s end-effector. The receiver’s position was computed using an inverse-Lambertian function for ranging followed by multi-lateration. We developed two novel methods to leverage the VLP as an online navigation system to control the robot. The position acquired from the VLP was used by the algorithms to determine the direction the robot needed to move. The developed algorithms guided the end-effector to move from a starting point to target/destination point(s) in a discrete manner, determined by a pre-determined step size. Our experiments consisted of the robot autonomously repeating straight line-, square- and butterfly-shaped paths multiple times. The results show median errors of 27.16 mm and 26.05 mm and 90 percentile errors of 37.04 mm and 47.48 mm, respectively, for the two methods. Full article
(This article belongs to the Special Issue Advanced Localization System: From Theory to Applications)
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