Ultrasonic indoor positioning for smart environments: A mobile application

Diaz, E.; Pérez, Mario; Gualda, David; Villadangos, J.M.; Ureña, J.; Garcı́a, J.J.

doi:10.1109/expat.2017.7984382

Cited by 23 publications

(7 citation statements)

References 9 publications

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“… Time Difference of Arrival (TDOA)  метод, используемый в системах с тремя и более приемниками. Расстояние до источника акустического сигнала определяется за счет разницы во времени прибытия сигнала на разные приемники [44].…”

Section: магнитометрия акустические и инерциальные технологии локальunclassified

Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare

Cherepanova

Pospelova

Брагин

et al. 2020

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. The problem of localization of moving objects inside buildings becomes more urgent in healthcare. Tracking the movements of patients in real time allows one to provide them with timely medical support in case of sharp deterioration in their vital signs. It is especially important to track the location of patients undergoing a surgery, since the risk of death due to postoperative complications for them is extremely high. Using indoor-positioning technologies in telemedicine systems can solve the problem, thereby reducing the mortality rate of patients and improving the quality of medical care.Aim. To study the applicability of magnetometry, inertial and acoustic technologies for patient’s localization in a hospital.Materials and methods. The analysis of domestic and foreign scientific sources devoted to indoor-positioning based on the above technologies was carried out. Material published not earlier than 2016, was chosen for the analysis. Most of the papers were published in journals with impact-factor not lower than 3.Results. After analyzing the information received, it was concluded that none of the technologies can be used independently. Inertial sensors possess high accuracy, but over time, the measurement error increases. There-fore, the sensors need to regular correction. Indoor-positioning based on geomagnetism is hampered by interference that can be induced by the operation of magnetic resonance imaging scanners and X-ray equipment, which are usually used in medical facilities. Active magnetometry does not allow to keep track of moving objects due to specific of hardware used. Ultrasound-based positioning can be complicated by ultrasonography apparatuses interference. Using an audible sound creates noise pollution and exerts a negative impact on patient’s health. Also, acoustic technologies are unable to provide a secure communication channel for data exchange.Conclusion. It is recommended to combine the reviewed positioning technologies with other technologies in order to correct the indicated disadvantages.

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Section: магнитометрия акустические и инерциальные технологии локальunclassified

Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare

Cherepanova

Pospelova

Брагин

et al. 2020

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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“…The UBS offers a similar concept and mechanism to the ultra‐wideband beacon, but it is cheaper and easier to integrate into UAVs than the ultra‐wideband beacon. The UBS provides centimeter‐level accuracy with proper parameter tuning (Díaz et al., ). For this reason, we chose UBS as the local mapping and localization sensor for Level 2 autonomous navigation of a UAV equipped with a camera for structural damage detection.…”

Section: Introductionmentioning

confidence: 99%

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging

Kang

Cha

2018

Computer aided Civil Eng

283

144

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Visual inspection has traditionally been used for structural health monitoring. However, assessments conducted by trained inspectors or using contact sensors on structures for monitoring are costly and inefficient because of the number of inspectors and sensors required. To date, data acquisition using unmanned aerial vehicles (UAVs) equipped with cameras has become popular, but UAVs require skilled pilots or a global positioning system (GPS) for autonomous flight. Unfortunately, GPS cannot be used by a UAV for autonomous flight near some parts of certain structures (e.g., beneath a bridge), but these are the critical locations that should be inspected to monitor and maintain structural health. To address this difficulty, this article proposes an autonomous UAV method using ultrasonic beacons to replace the role of GPS, a deep convolutional neural network (CNN) for damage detection, and a geo‐tagging method for the localization of damage. Concrete cracks, as an example of structural damage, were successfully detected with 97.7% specificity and 91.9% sensitivity, by processing video data collected from an autonomous UAV.

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“…Diaz investigated an ultrasonic indoor placement for smart environments in cellular application. This system used ultrasonic sensors to detect objects in an unknown environment [21].…”

Section: Introductionmentioning

confidence: 99%

Design of Ultrasonic Sensor and Ultraviolet Sensor Implemented on a Fire Fighter Robot Using AT89S52

Prasojo

Nguyen

Tanane

et al. 2020

jrc

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A firefighter is a task given by someone or a team to extinguish a fire that occurs when building a building. The officer took the danger of fighting the fire with a fire engine equipped with a water sprayer. Because of these dangers, a robot was made to help put out the fire. This research aimed to design a fire extinguisher robot using AT89S52 microcontroller as its controller. A DC fan controlled by a relay was utilized to extinguish the fire and a fire sensor (UV-Tron) was used to detect the presence of fire. The robot was driven by motor DC. It could detect the surrounding obstacles and possessed an ultrasound-based navigation system. If the ultrasound system detects an obstacle, the robot will automatically turn without colliding the obstacle or other things around it. The result of the research showed that the proposed fire extinguisher robot can detect fire as far as 5 meters and successfully extinguish the fire.

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Ultrasonic indoor positioning for smart environments: A mobile application

Cited by 23 publications

References 9 publications

Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare

Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging

Design of Ultrasonic Sensor and Ultraviolet Sensor Implemented on a Fire Fighter Robot Using AT89S52

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