المؤلفون: Sá, Simone Conceição Costa

المساهمون: Almeida, Bruno Alexandre Reis de, Rodrigues, Pedro Miguel de Luís, Veritati - Repositório Institucional da Universidade Católica Portuguesa

مصطلحات موضوعية: Fluxo hospitalar, Localização e navegação indoor, Aplicação mobile, QR codes, Hospital flow, Indoor positioning and navigation, Mobile application, Domínio/Área Científica::Ciências Médicas::Biotecnologia Médica

الوصف: A elevada complexidade da arquitetura das instalações hospitalares, os avanços a nível tecnológico e o facto de estas instalações serem dinâmicas, especializadas e estarem em constante mutação tornam o fluxo no interior das mesmas cada vez mais intenso e desorganizado. Tal influencia negativamente a operacionalidade, segurança e flexibilidade destas instituições. Neste sentido, o presente trabalho de mestrado destina-se ao desenvolvimento de uma solução que pretende colmatar a dificuldade sentida, por parte dos utilizadores de hospitais, em encontrar determinadas zonas dentro do mesmo. Consiste numa aplicação mobile que utiliza a leitura de QR Codes como tecnologia para a localização do utilizador e indicação do trajeto que o mesmo pode efetuar para chegar ao destino desejado. O caso de estudo deste projeto foi o piso -1 da sede do Porto da empresa Craftable Software onde se procedeu à colocação de QR Codes estrategicamente pelo edifício que, quando lidos, permitem identificar o posicionamento do utilizador. Com base na informação relativa à localização atual do utilizador e ao destino final escolhido pelo mesmo, é apresentado um mapa com a ilustração do trajeto a efetuar, indicando o número de passos a dar até alcançar o QR Code seguinte. O utilizador deverá ler os QR Codes sucessivamente até alcançar o destino pretendido de modo a monitorizar a sua localização à medida que percorre o trajeto descrito no mapa. Para criar esta prova de conceito usa-se como linguagem de programação o JavaScript, como framework o React Native e a tecnologia Expo como plataforma de desenvolvimento, que publica e atualiza a aplicação diretamente na nuvem. O comando “npm start” é executado no terminal do ambiente de programação Visual Studio Code, para iniciar o projeto. O Git controla as versões de código fonte, o GitHub funciona como repositório remoto de Git e o Fork como elo de ligação entre o repositório remoto e o GitHub. Efetuou-se uma análise financeira do projeto para avaliar a sua viabilidade económica, tendo-se calculado o investimento inicial, os custos fixos e variáveis anuais e as receitas anuais, e, em função dos resultados líquidos estimados, prevê-se que o investimento seja recuperado logo no início do quinto ano. O objetivo primordial deste trabalho foi cumprido dado que foi possível desenvolver uma prova de conceito de uma aplicação mobile para localizar e orientar os utilizadores dentro de hospitais. Esta solução é confiável, intuitiva, barata, única no mercado e de acesso imediato. As perspetivas futuras assentam na implementação de funcionalidades adicionais, como a existência de um refresh automático da localização do utilizador a cada passo dado, a existência de uma página de login que recolha informações relativas ao utilizador e conecte diretamente ao hospital, o cálculo do tamanho da passada em função do sexo e altura do utilizador, a criação de uma base de dados externa, o desenvolvimento de um algoritmo para a identificação automática do trajeto a efetuar ou a apresentação do mesmo recorrendo a coordenadas pré definidas e a implementação de um produto mais robusto em ambiente hospitalar. Além disso, é necessário obter a certificação do produto e o investimento financeiro inicial para a sua comercialização.

الوصف (مترجم): The highly complex architecture of hospital facilities, technological advances, and the fact that these facilities are dynamic, specialized, and constantly changing make the flow inside them increasingly intense and disorganized. This negatively influences the operability, security, and flexibility of these institutions. In this sense, this master's work is intended to develop a solution that aims to overcome the difficulty felt by hospital users to find certain areas within it. It consists of a mobile application that uses the reading of QR Codes as a technology to locate the user and indicate the route to reach the desired destination. The case study of this project was the -1 floor of the company’s Craftable Software Porto’s headquarters where QR Codes were placed strategically throughout the building that, when read, allow the identification of the user's position. Based on information about the user's current location and the final destination chosen by the user, a map is displayed illustrating the route to take, indicating the number of steps to take until reaching the next QR Code. The user must read the QR Codes successively until reaching the desired destination in order to monitor their location as they travel along the route described on the map. To create this proof of concept we use JavaScript as the programming language, React Native as the framework, and Expo as the development platform, which publishes and updates the application directly in the cloud. The command "npm start" is executed in the terminal of the Visual Studio Code programming environment to start the project. Git controls the source code versions, GitHub acts as the remote Git repository and Fork as the connection between the remote repository and GitHub. A financial analysis of the project was made to evaluate its economic viability, and the initial investment, annual fixed and variable costs, and annual revenues were calculated, and, depending on the estimated net result, the investment is expected to be recovered early in the fifth year. The main goal of this project was achieved since it was possible to develop a proof-of-concept of a mobile application to locate and guide users inside hospitals. This solution is reliable, intuitive, low-cost, unique, and immediately accessible. The future perspectives are based on the implementation of additional functionalities, such as the existence of an automatic refresh of the user's location at each step taken, the existence of a login page that collects information regarding the user and establishes a direct connection to the hospital, the calculation of the step size according to the user's gender and height, the creation of an external database, the development of an algorithm for the automatic identification of the route to take or the presentation of it using predefined coordinates, and the implementation of a more robust product in a hospital environment. In addition, it is necessary to obtain the product certification and the initial financial investment for its commercialization.

وصف الملف: application/pdf

الإتاحة: http://hdl.handle.net/10400.14/43070Test

المؤلفون: Hongchao Yang, Yunjia Wang, Shenglei Xu, Jingxue Bi, Haonan Jia, Cheekiat Seow

المصدر: Sensors, Vol 24, Iss 5, p 1703 (2024)

مصطلحات موضوعية: ultra-wideband (UWB), indoor positioning and navigation, non-line of sight (NLOS), channel impulse response (CIR), ranging mitigation, deep learning, Chemical technology, TP1-1185

الوصف: The effective identification and mitigation of non-line-of-sight (NLOS) ranging errors are essential for achieving high-precision positioning and navigation with ultra-wideband (UWB) technology in harsh indoor environments. In this paper, an efficient UWB ranging-error mitigation strategy that uses novel channel impulse response parameters based on the results of a two-step NLOS identification, composed of a decision tree and feedforward neural network, is proposed to realize indoor locations. NLOS ranging errors are classified into three types, and corresponding mitigation strategies and recall mechanisms are developed, which are also extended to partial line-of-sight (LOS) errors. Extensive experiments involving three obstacles (humans, walls, and glass) and two sites show an average NLOS identification accuracy of 95.05%, with LOS/NLOS recall rates of 95.72%/94.15%. The mitigated LOS errors are reduced by 50.4%, while the average improvement in the accuracy of the three types of NLOS ranging errors is 61.8%, reaching up to 76.84%. Overall, this method achieves a reduction in LOS and NLOS ranging errors of 25.19% and 69.85%, respectively, resulting in a 54.46% enhancement in positioning accuracy. This performance surpasses that of state-of-the-art techniques, such as the convolutional neural network (CNN), long short-term memory–extended Kalman filter (LSTM-EKF), least-squares–support vector machine (LS-SVM), and k-nearest neighbor (K-NN) algorithms.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/1424-8220/24/5/1703Test; https://doaj.org/toc/1424-8220Test

الوصول الحر: https://doaj.org/article/5f935618061841b5b8ac8f6436a7564aTest

المؤلفون: Po Ting Lin, Che-An Liao, Shu-Hao Liang

المصدر: IEEE Access, Vol 9, Pp 25200-25207 (2021)

مصطلحات موضوعية: Autonomous ground vehicle (AGV), indoor positioning and navigation (IPN), Monte Carlo simulations (MCS), multilateration, wireless distance measurement, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: Recently, Autonomous Ground Vehicles (AGV) and mobile robots have been rapidly developed in various engineering applications, such as Industry 4.0 factory and smart manufacturing. Indoor navigation was one of the most important tasks for the mobile systems as they were often designed to move from one location to another location autonomously without contacting the surrounding objects along the moving path in a usually dynamic and complex indoor environment. There were two key steps to achieve Simultaneous Localization and Mapping (SLAM). First, indoor positioning of the mobile system based on some measurements was done. The second step was to navigate itself inside the indoor map. This was a very challenging problem because there always existed uncertainties in the measurements. It was desired to estimate the positioning errors and determine a safe moving path with high reliability. This paper presented the methodologies for wireless indoor positioning and navigation of AGV with measurement uncertainties. Two kinds of AGV moving trajectories with various design parameters were simulated: a linear trajectory and a curved one. It was found that both greater number of sensors being used for wireless measurements and greater number of measurement trials for multilateration could effectively improve the accuracy of AGV positioning.

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9348916Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/01e3c4b742c946bba8fe6f1a14edb33fTest

المؤلفون: Potort, Francesco, Torres-Sospedra, Joaquín, Quezada Gaibor, Darwin, Jiménez, Antonio Ramón, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chung-Hao, Antsfeld, Leonid, Chidlovskii, Boris, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendão, Cristiano, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, De Cock, Cedric, Plets, David, Opiela, Miroslav, Dzama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, OH, HL, ohta, nozomu, Nagae, Satsuki, Kurata, Takeshi, dongyan, wei, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, GIROLAMI, MICHELE, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David, Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro

المساهمون: Universitat Oberta de Catalunya (UOC)

مصطلحات موضوعية: indoor positioning and navigation, evaluation, smartphone-based positioning, foot-mounted IMU, positioning in industrial scenarios and factories, vehicle-positioning, navegación y posicionamiento en interiores, evaluación, posiciónamiento basado en teléfonos inteligentes, IMU con patas, posicionamiento en escenarios industriales y fábricas, posicionamiento del vehículo, navegació i posicionament en interiors, evaluació, posicionament basat en teléfons inteligents, IMU amb cames, posicionament en escenaris industrials i fabriques, posicionament del vehicle, electronics in navigation, electrònica en la navegació, electrónica en la nevagación

الوصف: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoorpositioning andnavigationpurposes.Throughfaircomparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1m for the Smartphone Track and 0.5m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements

وصف الملف: application/pdf

العلاقة: IEEE Sensors Journal, 2022, 22(6); https://www.doi.org/10.1109/JSEN.2021.3083149Test; http://hdl.handle.net/10609/147005Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3083149Test
http://hdl.handle.net/10609/147005Test

المؤلفون: Potorti, Francesco, Torres-Sospedra, Joaquín, Quezada-Gaibor, Darwin, Jimenez, Antonio Ramon, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Silva, Ivo Miguel Menezes, Pendão, Cristiano Gonçalves, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, Cock, Cedric De, Plets, David, Opiela, Miroslav, Jakub Džama, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye

مصطلحات موضوعية: Sensor phenomena and characterization, Indoor navigation, Testing, Standards, Satellite broadcasting, Recurrent neural networks, Received signal strength indicator, Indoor positioning and navigation, evaluation, smartphone-based positioning, foot-mounted IMU, positioning in industrial scenarios and factories, vehicle-positioning, Ciências Naturais::Ciências da Computação e da Informação, Science & Technology

الوصف: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements. ; Track 3 organizers were supported by the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie Grant 813278 (A-WEAR: A network for dynamic WEarable Applications with pRivacy constraints), MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE), INSIGNIA (MICINN ref. PTQ2018-009981), and REPNIN+ (MICINN, ref. TEC2017-90808-REDT). We would like to thanks the UJI’s Library managers and employees for their support while collecting the required datasets for Track 3. Track 5 organizers were supported by JST-OPERA Program, Japan, under Grant JPMJOP1612. Track 7 organizers were supported by the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics-Data-Applications (ADA-Center) within the framework of “BAYERN DIGITAL II. ” Team UMinho (Track 3) was supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope under Grant UIDB/00319/2020, and the Ph.D. ...

وصف الملف: application/pdf

العلاقة: info:eu-repo/grantAgreement/EC/H2020/813278/EU; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT; info:eu-repo/grantAgreement/FCT/POR_NORTE/PD%2FBD%2F137401%2F2018/PT; https://ieeexplore.ieee.org/document/9439493Test; F. Potortì et al., "Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March15, 2022, doi:10.1109/JSEN.2021.3083149.; https://hdl.handle.net/1822/82092Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3083149Test
https://hdl.handle.net/1822/82092Test

المؤلفون: Jianhua Liu, Jingyan Luo, Jiwei Hou, Danqi Wen, Guoqiang Feng, Xu Zhang

المصدر: ISPRS International Journal of Geo-Information; Volume 9; Issue 12; Pages: 747

مصطلحات موضوعية: hybrid three-dimensional (3D) map model, entity model, network model, building information modeling (BIM), indoor positioning and navigation

جغرافية الموضوع: agris

الوصف: Accurate and fast indoor Location-Based Services (LBS) is very important for daily life and emergency response. Indoor map is the basis of indoor LBS. The model construction and data organization of indoor map are the key scientific problems that urgently need to be solved in the current indoor LBS application. In recent years, hybrid models have been used widely in the research of indoor map, because they can balance the limitations of single models. However, the current studies about hybrid model pay more attention to the model accuracy and modeling algorithm, while ignoring its relationship between positioning and navigation and its practicality in mobile indoor LBS applications. This paper addresses a new indoor map model, named Building Information Modeling based Positioning and Navigation (BIMPN), which is based on the entity model and the network model. The highlight of BIMPN is that it proposes a concept of Step Node (SN) to assist indoor positioning and navigation function. We developed the Mobile Indoor Positioning and Navigation System (MIPNS) to verify the practicability of BIMPN. Results indicate that the BIMPN can effectively organize the characteristics of indoor spaces and the building features, and assist indoor positioning and navigation. The BIMPN proposed in this paper can be used for the construction of indoor maps and it is suitable for mobile indoor positioning and navigation systems.

وصف الملف: application/pdf

العلاقة: https://dx.doi.org/10.3390/ijgi9120747Test

الإتاحة: https://doi.org/10.3390/ijgi9120747Test

المؤلفون: Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio Ramón, Moreira, Adriano, Lungenstrass, Tomás, Lu, Wei-Chung, Knauth, Stefan, Mendoza Silva, Germán Martín, Seco, Fernando, Perez-Navarro, Antoni, Nicolau, Maria João, Costa, António, Meneses, Filipe, Farina, Joaquín, Morales, Juan Pablo, Lu, Wen-Chen, Cheng, Ho-Ti, Yang, Shi-Shen, Fang, Shih-Hau, Chien, Ying-Ren, Tsao, Yu

مصطلحات موضوعية: Indoor positioning and navigation, Wi-Fi fingerprinting, Sensor fusion, Competitions, Benchmarking, Cellular telephone systems, Telefonia mòbil, Teléfono móvil

الوصف: The development of indoor positioning solutions using smartphones is a growing activity with an enormous potential for everyday life and professional applications. The research activities on this topic concentrate on the development of new positioning solutions that are tested in specific environments under their own evaluation metrics. To explore the real positioning quality of smartphone-based solutions and their capabilities for seamlessly adapting to different scenarios, it is needed to find fair evaluation frameworks. The design of competitions using extensive pre-recorded datasets is a valid way to generate open data for comparing the different solutions created by research teams. In this paper, we discuss the details of the 2017 IPIN indoor localization competition, the different datasets created, the teams participating in the event, and the results they obtained. We compare these results with other competition-based approaches (Microsoft and Perf-loc) and on-line evaluation web sites. The lessons learned by organising these competitions and the benefits for the community are addressed along the paper. Our analysis paves the way for future developments on the standardization of evaluations and for creating a widely-adopted benchmark strategy for researchers and companies in the field.

وصف الملف: application/pdf

العلاقة: https://www.mdpi.com/1424-8220/18/2/487/pdfTest; Torres Sospedra, J., Jiménez, A., Moreira, A., Lungenstrass, T., Lu, W.-C., Knauth, S., Mendoza Silva, G.M., Seco, F., Pérez Navarro, A., Nicolau, M.J., Costa, A., Meneses, F., Farina, J., Morales, J.P., Lu, W.-C., Cheng, H.-T., Yang, S.-S., Fang, S.-H., Chien, Y.-R. & Tsao, Y. (2018). Off-Line Evaluation of Mobile-Centric Indoor Positioning Systems: The Experiences from the 2017 IPIN Competition. Sensors, 18(2), 1-27. doi:10.3390/s18020487; http://hdl.handle.net/10609/93682Test

الإتاحة: https://doi.org/10.3390/s18020487Test
http://hdl.handle.net/10609/93682Test

المؤلفون: Joaquín Torres-Sospedra, Antonio Jiménez, Adriano Moreira, Tomás Lungenstrass, Wei-Chung Lu, Stefan Knauth, Germán Mendoza-Silva, Fernando Seco, Antoni Pérez-Navarro, Maria Nicolau, António Costa, Filipe Meneses, Joaquín Farina, Juan Morales, Wen-Chen Lu, Ho-Ti Cheng, Shi-Shen Yang, Shih-Hau Fang, Ying-Ren Chien, Yu Tsao

المصدر: Sensors; Volume 18; Issue 2; Pages: 487

مصطلحات موضوعية: indoor positioning and navigation, Wi-Fi fingerprinting, sensor fusion, competitions, benchmarking

الوصف: The development of indoor positioning solutions using smartphones is a growing activity with an enormous potential for everyday life and professional applications. The research activities on this topic concentrate on the development of new positioning solutions that are tested in specific environments under their own evaluation metrics. To explore the real positioning quality of smartphone-based solutions and their capabilities for seamlessly adapting to different scenarios, it is needed to find fair evaluation frameworks. The design of competitions using extensive pre-recorded datasets is a valid way to generate open data for comparing the different solutions created by research teams. In this paper, we discuss the details of the 2017 IPIN indoor localization competition, the different datasets created, the teams participating in the event, and the results they obtained. We compare these results with other competition-based approaches (Microsoft and Perf-loc) and on-line evaluation web sites. The lessons learned by organising these competitions and the benefits for the community are addressed along the paper. Our analysis paves the way for future developments on the standardization of evaluations and for creating a widely-adopted benchmark strategy for researchers and companies in the field.

وصف الملف: application/pdf

العلاقة: Physical Sensors; https://dx.doi.org/10.3390/s18020487Test

الإتاحة: https://doi.org/10.3390/s18020487Test

المؤلفون: Che-An Liao, Shu-Hao Liang, Po Ting Lin

المصدر: IEEE Access, Vol 9, Pp 25200-25207 (2021)

مصطلحات موضوعية: 0209 industrial biotechnology, General Computer Science, Computer science, Real-time computing, 02 engineering and technology, Simultaneous localization and mapping, multilateration, 020901 industrial engineering & automation, Autonomous ground vehicle (AGV), 0202 electrical engineering, electronic engineering, information engineering, Wireless, General Materials Science, Monte Carlo simulations (MCS), business.industry, General Engineering, Probabilistic logic, Mobile robot, Multilateration, indoor positioning and navigation (IPN), Trajectory, Factory (object-oriented programming), 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, wireless distance measurement, lcsh:TK1-9971, Wireless sensor network

الوصف: Recently, Autonomous Ground Vehicles (AGV) and mobile robots have been rapidly developed in various engineering applications, such as Industry 4.0 factory and smart manufacturing. Indoor navigation was one of the most important tasks for the mobile systems as they were often designed to move from one location to another location autonomously without contacting the surrounding objects along the moving path in a usually dynamic and complex indoor environment. There were two key steps to achieve Simultaneous Localization and Mapping (SLAM). First, indoor positioning of the mobile system based on some measurements was done. The second step was to navigate itself inside the indoor map. This was a very challenging problem because there always existed uncertainties in the measurements. It was desired to estimate the positioning errors and determine a safe moving path with high reliability. This paper presented the methodologies for wireless indoor positioning and navigation of AGV with measurement uncertainties. Two kinds of AGV moving trajectories with various design parameters were simulated: a linear trajectory and a curved one. It was found that both greater number of sensors being used for wireless measurements and greater number of measurement trials for multilateration could effectively improve the accuracy of AGV positioning.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c16bf1da4f36725f547359943806165fTest
https://doi.org/10.1109/access.2021.3057415Test

المؤلفون: Satyam Dwivedi, Antonio Moschitta, John-Olof Nilsson, Valter Pasku, Alessio De Angelis, Peter Händel, Paolo Carbone

المصدر: I2MTC

مصطلحات موضوعية: Positioning system, Computer science, range measurement, Real-time computing, 02 engineering and technology, indoor environment, magnetic fields, 01 natural sciences, Magnetic separation, dead-reckoning inertial navigation system, Indoor positioning system, magnetic field measurement, Dead reckoning, 0202 electrical engineering, electronic engineering, information engineering, inertial navigation, Magnetic sensors, Dead reckoning INSPEC: Controlled Indexing inertial navigation, Electrical and Electronic Engineering, Instrumentation, Inertial navigation system, Remote sensing, IEEE Keywords: Coils, DR-INS, MPS mobile node, Node (networking), 020208 electrical & electronic engineering, 010401 analytical chemistry, indoor positioning, Wind triangle, Voltage measurement, Ranging, pedestrians INSPEC: Non-Controlled Indexing magnetic ranging-aided dead-reckoning positioning system, resonators, partial nonline-of-sight condition, 0104 chemical sciences, pedestrian application, Magnetic resonance, sensor Author Keywords Dead reckoning (DR), IEEE Keywords: Coils, Magnetic separation, Magnetic sensors, Magnetic resonance, Voltage measurement, Dead reckoning INSPEC: Controlled Indexing inertial navigation, magnetic field measurement, magnetic sensors, pedestrians INSPEC: Non-Controlled Indexing magnetic ranging-aided dead-reckoning positioning system, pedestrian application, dead-reckoning inertial navigation system, DR-INS, partial nonline-of-sight condition, indoor environment, MPS mobile node, distance measurement, sensor Author Keywords Dead reckoning (DR), indoor positioning, inertial navigation, magnetic fields, range measurement, resonators, distance measurement, Air navigation

الوصف: This paper investigates the applicability of a developed Magnetic Positioning System (MPS) as a support for a dead-reckoning inertial navigation system (DR-INS) for pedestrian applications. The integrated system combines the complementary properties of the separate systems, operating over long periods of time and in cluttered indoor areas with partial nonline-of-sight conditions. The obtained results show that the proposed approach can effectively improve the coverage area of the MPS and the operation time with bounded errors of the DR-INS. In particular, a solution that provides bounded position errors of 1–2 m over significantly long periods of time up to 45 min, in realistic indoor environments, is demonstrated. Moreover, system applicability is also shown in those scenarios where arbitrary orientations of the MPS mobile node are considered and an MPS position estimate is not available due to less than three distance measurements.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7b809089e0652fbca681dc351fb6d53Test
https://doi.org/10.1109/tim.2017.2649918Test