Using a local positioning system to track 2D motion

DeStefano, Paul; Siebert, Cora; Widenhorn, Ralf

doi:10.1119/1.5126843

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…All of these systems, which are powered by a Raspberry Pi, are controlled by a Raspberry Pi processor. Finally, a computer control system with a ROS environment and POZYX library was used, which communicated via Raspberry Pi as a read/write device [ 20 ]. To improve localization and positioning, various algorithms can be tested and simulated.…”

Section: Working Methodologymentioning

confidence: 99%

Comparative Analysis of Integrated Filtering Methods Using UWB Localization in Indoor Environment

Ranjan,

Shin,

Jung

et al. 2024

Sensors

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This research delves into advancing an ultra-wideband (UWB) localization system through the integration of filtering technologies (moving average (MVG), Kalman filter (KF), extended Kalman filter (EKF)) with a low-pass filter (LPF). We investigated new approaches to enhance the precision and reduce noise of the current filtering methods—MVG, KF, and EKF. Using a TurtleBot robotic platform with a camera, our research thoroughly examines the UWB system in various trajectory situations (square, circular, and free paths with 2 m, 2.2 m, and 5 m distances). Particularly in the square path trajectory with the lowest root mean square error (RMSE) values (40.22 mm on the X axis, and 78.71 mm on the Y axis), the extended Kalman filter with low-pass filter (EKF + LPF) shows notable accuracy. This filter stands out among the others. Furthermore, we find that integrated method using LPF outperforms MVG, KF, and EKF consistently, reducing the mean absolute error (MAE) to 3.39% for square paths, 4.21% for circular paths, and 6.16% for free paths. This study highlights the effectiveness of EKF + LPF for accurate indoor localization for UWB systems.

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Section: Working Methodologymentioning

confidence: 99%

Comparative Analysis of Integrated Filtering Methods Using UWB Localization in Indoor Environment

Ranjan,

Shin,

Jung

et al. 2024

Sensors

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“…In recent years, there has been a growing interest in localization and positioning technologies. Researchers and practitioners have proposed various technologies, such as using UWB [5,6], augmented reality (AR) [7,8], and wireless IoT through cross-platform development engine [9,10], to address the challenges of indoor localization. This paper reviews the most recent popular localization technologies, as well as localization within UWB technology, which address the challenges of indoor localization and navigation.…”

Section: Literature Reviewmentioning

confidence: 99%

Indoor Positioning System Based on UWB Rapid Integration with Unity Cross Platform Development Engine through IoT

Zikrul Hakiem Ishak,

Sallehuddin Mohamed Haris

2023

JAIT

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The changes in time have made divergences of endless possibilities in localization technology. Localization in an indoor environment is surely a concerning matter as several shortcomings always arise when dealing with indoor localization. To optimize localization in an indoor environment, tracking a subject’s position in real-time is a certainly vital interest. Challenges in obtaining an accurate position in precise millimetre accuracy whilst the subject perceive visual information rendered in real-time is somewhat always a matter in hand to address in an indoor environment. The main objective of this research is to implement a positioning method in an indoor environment base on ultra-wideband (UWB) technology to obtain position accuracy in millimetres by rapidly integrating with Unity three-dimensional (3D) engine hence obtaining a detailed inertial measurement unit (IMU) data via wireless Message Queuing Telemetry Transport (MQTT) network protocol. The key results of this research should ensure an establishment of an indoor positioning system based on providing the finest selection of positioning and UWB parameters. These fine selections are an important design choice impacting the system’s performance in obtaining an accurate position within the range of 0.15mm to 115mm. The technological benefits involve the innovation of wireless communication based on the internet of things (IoT) concept relevant to the Industrial Revolution 4.0 (IR 4.0) enabling participants to move freely in an indoor environment whilst obtaining accurate and precise positioning coordinates. Future recommendations comprise of real-time two-dimensional (2D) Pozyx Creator Controller integrated with Unity 3D user graphical user interface (GUI) purposes intended for mobile mapping navigations.

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“…Additionally, this activity does not provide experimental data that can be visualized or analysed by students. The kinaesthetic learning activity described in this paper uses the Poxyz LPS which we have used in the past for physics instruction [17][18][19][20][21]. It has the capability to measure 1D, 2D, and 3D positioning, acceleration, angular velocity, magnetic field strength, and pressure.…”

Section: Teaching Retrograde Motionmentioning

confidence: 99%

Teaching planetary retrograde motion using a local positioning system

Lee¹,

DeStefano²,

Shaaban³

et al. 2022

Phys. Educ.

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For millennia, humans have observed planetary retrograde motion and attempted to explain the phenomena. Our modern understanding of the motions of bodies within the Solar System is built up from a rich history of past models, each of which tried to explain astronomical observations while also being influenced by the contemporary belief system. One of the pivotal observations that assisted astronomers in the development of our current planetary model is planetary retrograde motion. Complexities in heliocentric and geocentric planetary models coupled with the change of reference frame required to visualize retrograde can be challenging for students. For this reason, we developed a kinaesthetic learning activity for introductory physics and astronomy courses that requires students to physically walk planetary orbits and allows them to see apparent motions across a virtual sky in real-time. In this paper, we present multiple activities using a local positioning system that are based on changing historical models for the retrograde phenomenon. We aim for these activities to culminate in students’ holistic understanding of how astronomically observed retrograde patterns were explained by models stemming from the existing scientific knowledge and beliefs available at the time.

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Using a local positioning system to track 2D motion

Cited by 5 publications

References 2 publications

Comparative Analysis of Integrated Filtering Methods Using UWB Localization in Indoor Environment

Comparative Analysis of Integrated Filtering Methods Using UWB Localization in Indoor Environment

Indoor Positioning System Based on UWB Rapid Integration with Unity Cross Platform Development Engine through IoT

Teaching planetary retrograde motion using a local positioning system

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