scholarly journals Experimental Evaluation of UWB Indoor Positioning for Indoor Track Cycling

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2041 ◽  
Author(s):  
Kevin Minne ◽  
Nicola Macoir ◽  
Jen Rossey ◽  
Quinten Van den Brande ◽  
Sam Lemey ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Indoor Positioning ◽  
Ultra Wideband ◽  
Optimal Position ◽  
Positioning Systems ◽  
Communication Range ◽  
Lower Back ◽  
Depth Analysis ◽  
Track Cycling ◽  
Localization Systems

Accurate radio frequency (RF)-based indoor localization systems are more and more applied during sports. The most accurate RF-based localization systems use ultra-wideband (UWB) technology; this is why this technology is the most prevalent. UWB positioning systems allow for an in-depth analysis of the performance of athletes during training and competition. There is no research available that investigates the feasibility of UWB technology for indoor track cycling. In this paper, we investigate the optimal position to mount the UWB hardware for that specific use case. Different positions on the bicycle and cyclist were evaluated based on accuracy, received power level, line-of-sight, maximum communication range, and comfort. Next to this, the energy consumption of our UWB system was evaluated. We found that the optimal hardware position was the lower back, with a median ranging error of 22 cm (infrastructure hardware placed at 2.3 m). The energy consumption of our UWB system is also taken into account. Applied to our setup with the hardware mounted at the lower back, the maximum communication range varies between 32.6 m and 43.8 m. This shows that UWB localization systems are suitable for indoor positioning of track cyclists.

scholarly journals Collaborative Indoor Positioning Systems: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1002 ◽  
Author(s):  
Pavel Pascacio ◽  
Sven Casteleyn ◽  
Joaquín Torres-Sospedra ◽  
Elena Simona Lohan ◽  
Jari Nurmi
Keyword(s):  
Systematic Review ◽  
Belief Propagation ◽  
Satellite System ◽  
Indoor Positioning ◽  
Ultra Wideband ◽  
Evaluation Procedure ◽  
Future Research ◽  
Time Of Arrival ◽  
General View ◽  
Positioning Systems

Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts. In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in (collaborative) indoor positioning systems a large variety of technologies, techniques, and methods is being used. Moreover, the diversity of evaluation procedures and scenarios hinders a direct comparison. This paper presents a systematic review that gives a general view of the current CIPSs. A total of 84 works, published between 2006 and 2020, have been identified. These articles were analyzed and classified according to the described system’s architecture, infrastructure, technologies, techniques, methods, and evaluation. The results indicate a growing interest in collaborative positioning, and the trend tend to be towards the use of distributed architectures and infrastructure-less systems. Moreover, the most used technologies to determine the collaborative positioning between users are wireless communication technologies (Wi-Fi, Ultra-WideBand, and Bluetooth). The predominant collaborative positioning techniques are Received Signal Strength Indication, Fingerprinting, and Time of Arrival/Flight, and the collaborative methods are particle filters, Belief Propagation, Extended Kalman Filter, and Least Squares. Simulations are used as the main evaluation procedure. On the basis of the analysis and results, several promising future research avenues and gaps in research were identified.

scholarly journals A Review of Antennas for Indoor Positioning Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Luis Brás ◽  
Nuno Borges Carvalho ◽  
Pedro Pinho ◽  
Lukasz Kulas ◽  
Krzysztof Nyka
Keyword(s):  
Indoor Localization ◽  
Time Of Flight ◽  
Signal Strength ◽  
Direction Of Arrival ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Positioning Systems ◽  
Anchor Nodes ◽  
Localization Systems

This paper provides a review of antennas applied for indoor positioning or localization systems. The desired requirements of those antennas when integrated in anchor nodes (reference nodes) are discussed, according to different localization techniques and their performance. The described antennas will be subdivided into the following sections according to the nature of measurements: received signal strength (RSS), time of flight (ToF), and direction of arrival (DoA). This paper intends to provide a useful guide for antenna designers who are interested in developing suitable antennas for indoor localization systems.

A Pulsed Frequency Modulated Ultra Wideband Technique for Indoor Positioning Systems

Frequenz ◽  
2008 ◽  
Vol 62 (7-8) ◽  
Author(s):  
Benjamin Waldmann ◽  
Peter Gulden ◽  
Martin Vossiek ◽  
Robert Weigel
Keyword(s):  
Indoor Positioning ◽  
Ultra Wideband ◽  
Positioning Systems

scholarly journals Uncertainty Characterisation of Mobile Robot Localisation Techniques using Optical Surveying Grade Instruments

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2274 ◽  
Author(s):  
Benjamin McLoughlin ◽  
Harry Pointon ◽  
John McLoughlin ◽  
Andy Shaw ◽  
Frederic Bezombes
Keyword(s):  
Ground Truth ◽  
Position Estimation ◽  
Ultra Wideband ◽  
Optimal Position ◽  
Total Station ◽  
Positioning Systems ◽  
Recent Developments ◽  
Sensor Measurement ◽  
Uncertainty Models ◽  
Robotic Total Station

Recent developments in localisation systems for autonomous robotic technology have been a driving factor in the deployment of robots in a wide variety of environments. Estimating sensor measurement noise is an essential factor when producing uncertainty models for state-of-the-art robotic positioning systems. In this paper, a surveying grade optical instrument in the form of a Trimble S7 Robotic Total Station is utilised to dynamically characterise the error of positioning sensors of a ground based unmanned robot. The error characteristics are used as inputs into the construction of a Localisation Extended Kalman Filter which fuses Pozyx Ultra-wideband range measurements with odometry to obtain an optimal position estimation, all whilst using the path generated from the remote tracking feature of the Robotic Total Station as a ground truth metric. Experiments show that the proposed method yields an improved positional estimation compared to the Pozyx systems’ native firmware algorithm as well as producing a smoother trajectory.

scholarly journals A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing

2020 ◽  
Vol 10 (2) ◽  
pp. 59-72
Author(s):  
Firdaus Firdaus ◽  
Noor Azurati Ahmad ◽  
Shamsul Sahibuddin
Keyword(s):  
Image Processing ◽  
Radio Frequency ◽  
Optical Sensors ◽  
Indoor Positioning ◽  
Magnetic Sensors ◽  
Location Based Services ◽  
Ultra Wideband ◽  
Positioning Systems ◽  
Main Components ◽  
User Orientation

Location-based services (LBS) are a significant permissive technology. One of the main components in indoor LBS is the indoor positioning system (IPS). IPS utilizes many existing technologies such as radio frequency, images, acoustic signals, as well as magnetic sensors, thermal sensors, optical sensors, and other sensors that are usually installed in a mobile device. The radio frequency technologies used in IPS are WLAN, Bluetooth, Zig Bee, RFID, frequency modulation, and ultra-wideband. This paper explores studies that have combined WLAN fingerprinting and image processing to build an IPS. The studies on combined WLAN fingerprinting and image processing techniques are divided based on the methods used. The first part explains the studies that have used WLAN fingerprinting to support image positioning. The second part examines works that have used image processing to support WLAN fingerprinting positioning. Then, image processing and WLAN fingerprinting are used in combination to build IPS in the third part. A new concept is proposed at the end for the future development of indoor positioning models based on WLAN fingerprinting and supported by image processing to solve the effect of people presence around users and the user orientation problem.

scholarly journals A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

2017 ◽  
Vol 29 (3) ◽  
Author(s):  
Wilson Sakpere ◽  
Michael Adeyeye Oshin ◽  
Nhlanhla BW Mlitwa
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
State Of The Art ◽  
Indoor Positioning ◽  
Ultra Wideband ◽  
Area Network ◽  
Navigation Systems ◽  
Positioning Systems

The research and use of positioning and navigation technologies outdoors has seen a steady and exponential growth. Based on this success, there have been attempts to implement these technologies indoors, leading to numerous studies. Most of the algorithms, techniques and technologies used have been implemented outdoors. However, how they fare indoors is different altogether. Thus, several technologies have been proposed and implemented to improve positioning and navigation indoors. Among them are Infrared (IR), Ultrasound, Audible Sound, Magnetic, Optical and Vision, Radio Frequency (RF), Visible Light, Pedestrian Dead Reckoning (PDR)/Inertial Navigation System (INS) and Hybrid. The RF technologies include Bluetooth, Ultra-wideband (UWB), Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN), Radio-Frequency Identification (RFID) and Near Field Communication (NFC). In addition, positioning techniques applied in indoor positioning systems include the signal properties and positioning algorithms. The prevalent signal properties are Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI), while the positioning algorithms are Triangulation, Trilateration, Proximity and Scene Analysis/ Fingerprinting. This paper presents a state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios. It analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability. This paper has profound implications for future studies of positioning and navigation.

scholarly journals Self-calibration and Collaborative Localization for UWB Positioning Systems

2021 ◽  
Vol 54 (4) ◽  
pp. 1-27
Author(s):  
Matteo Ridolfi ◽  
Abdil Kaya ◽  
Rafael Berkvens ◽  
Maarten Weyn ◽  
Wout Joseph ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Ultra Wideband ◽  
Mobile Nodes ◽  
Positioning Systems ◽  
Self Calibration ◽  
Significant Research ◽  
Anchor Nodes ◽  
Collaborative Localization ◽  
The Cost ◽  
Localization Systems

Ultra-Wideband (UWB) is a Radio Frequency technology that is currently used for accurate indoor localization. However, the cost of deploying such a system is large, mainly due to the need for manually measuring the exact location of the installed infrastructure devices (“anchor nodes”). Self-calibration of UWB reduces deployment costs, because it allows for automatic updating of the coordinates of fixed nodes when they are installed or moved. Additionally, installation costs can also be reduced by using collaborative localization approaches where mobile nodes act as anchors. This article surveys the most significant research that has been done on self-calibration and collaborative localization. First, we find that often these terms are improperly used, leading to confusion for the readers. Furthermore, we find that in most of the cases, UWB-specific characteristics are not exploited, so crucial opportunities to improve performance are lost. Our classification and analysis provide the basis for further research on self-calibration and collaborative localization in the deployment of UWB indoor localization systems. Finally, we identify several research tracks that are open for investigation and can lead to better performance, e.g., machine learning and optimized physical settings.

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