المؤلفون: E. W. Lam, Thomas D. C. Little

المصدر: IEEE Access, Vol 8, Pp 80936-80947 (2020)

مصطلحات موضوعية: Service (systems architecture), Transitive relation, General Computer Science, Computer science, Real-time computing, Light-based positioning, General Engineering, Process (computing), transitive positioning, zone-based positioning, Optical wireless communications, optical wireless communications, 3D localization, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, 3d localization

الوصف: We propose a novel indoor optical positioning technique called zone-based positioning. The approach enables coordinate prediction of a mobile user device with the assistance of trusted optical anchor points, angle diversity, and optical wireless communications. Then, by a process called transitive positioning, additional targets within the field-of-view of the device can also be positioned once the user device is localized. Through modeling and analysis, the predicted performance of the approach reaches less than 5cm mean square error for direct 3D positioning with insignificant degradations for iterative transitive positioning. Experimental validations of the models using a prototype zone positioning unit demonstrate the potential for the approach including opportunities for additional accuracy refinement.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46f94542a03d8b38360cc267f4f0cf0Test
https://ieeexplore.ieee.org/document/9079848Test/

المؤلفون: Jingon Joung, Doan Tan Anh Nguyen, Xin Kang

المصدر: IEEE Access, Vol 9, Pp 68798-68813 (2021)

مصطلحات موضوعية: General Computer Science, Computer science, Real-time computing, 02 engineering and technology, computer.software_genre, Signal, Convolutional neural network, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 020208 electrical & electronic engineering, Transmitter, recurrent neural network (RNN), General Engineering, Volume (computing), ultra-wideband (UWB) system, Location awareness, deep learning, gated recurrent unit (GRU), 020206 networking & telecommunications, Ranging, TK1-9971, Recurrent neural network, 3D localization, Electrical engineering. Electronics. Nuclear engineering, Row, computer

الوصف: The localization system has been extensively studied because of its diverse applicability, for example, in the Internet of Things, automatic management, and unmanned aerial vehicle services. There have been numerous studies on localization in two-dimensional (2D) environments, but those in three-dimensional (3D) environments are scarce. In this paper, we propose a novel localization method that utilizes the gated recurrent unit (GRU) and ultra-wideband (UWB) signals. For the purpose of this study, we considered that the UWB transmitter (Tx) and many UWB receivers (Rx) were placed inside a confined space. The input of the proposed model was generated from the UWB signals that are sent from the Tx to the Rxs, and the output was the location of the Tx. The proposed GRU-based model converts the localization problem into a regression problem by combining the ranging and positioning phase. Thus, the proposed model can directly estimate the location of the Tx. Our proposed GRU-based method achieves 15 and four times shorter execution times for the training and testing, respectively, compared to the existing convolutional neural network (CNN)-based localization methods. The input data can also be easily generated with low complexity. The rows of the input matrix are the downsampled version of the UWB received signal. Throughout numerous simulation results, our novel localization method can achieve a lower root-mean-squared error up to 0.8 meters compared to the recently proposed existing CNN-based method. Furthermore, the proposed method operates well inside a confined space with fixed volume but varying width, height, and depth.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e8f1f257363692e7735af08d15b26a1Test
https://ieeexplore.ieee.org/document/9424555Test/

المؤلفون: Meiyan Zhang, Wenyu Cai

المصدر: Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 13:80-90

مصطلحات موضوعية: 010505 oceanography, Computer science, 010401 analytical chemistry, Real-time computing, Underwater sensor networks, Electrical and Electronic Engineering, 01 natural sciences, 0104 chemical sciences, 0105 earth and related environmental sciences, Electronic, Optical and Magnetic Materials, 3d localization

الوصف: Background: Effective 3D-localization in mobile underwater sensor networks is still an active research topic. Due to the sparse characteristic of underwater sensor networks, AUVs (Autonomous Underwater Vehicles) with precise positioning abilities will benefit cooperative localization. It has important significance to study accurate localization methods. Methods: In this paper, a cooperative and distributed 3D-localization algorithm for sparse underwater sensor networks is proposed. The proposed algorithm combines with the advantages of both recursive location estimation of reference nodes and the outstanding self-positioning ability of mobile AUV. Moreover, our design utilizes MMSE (Minimum Mean Squared Error) based recursive location estimation method in 2D horizontal plane projected from 3D region and then revises positions of un-localized sensor nodes through multiple measurements of Time of Arrival (ToA) with mobile AUVs. Results: Simulation results verify that the proposed cooperative 3D-localization scheme can improve performance in terms of localization coverage ratio, average localization error and localization confidence level. Conclusion: The research can improve localization accuracy and coverage ratio for whole underwater sensor networks.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::fffaec6f009d53fd7d3d7006d64a5eeaTest
https://doi.org/10.2174/2352096512666181219122909Test

المؤلفون: Antonis G. Dimitriou, Spyros Megalou, Aristidis Raptopoulos Chatzistefanou, Traianos V. Yioultsis, Konstantinos Panayiotou, Stavroula Siachalou, Thodoris Vasiliadis, Aggelos Bletsas, Andreana Malama, Emmanouil Tsardoulias, John N. Sahalos, Loukas Petrou, Andreas L. Symeonidis, Alexandros Filotheou, Evaggelos Giannelos, Ioannis Karanikas, Ioannis Mouroutsos, Anastasios Tzitzis

المصدر: 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech).

مصطلحات موضوعية: RFID, Repeater, business.industry, Computer science, Reliability (computer networking), Internet of Things, Real-time computing, Location awareness, Robotics, computer.software_genre, Drone, Field (computer science), Localization, Robot, Inventorying, Artificial intelligence, business, computer, 3d localization

الوصف: Summarization: This paper presents our latest results of our prototype robots and drones, aiming continuous inventorying and accurate real-time 3D localization of RFID tagged items. We have designed and constructed two ground robots, capable of autonomous inventorying in unknown regions, exploiting state-of-the-art methods from the field of robotics and RF-localization. Furthermore, we present our prototype drone, also capable of 3D inventorying and localization. In addition, we demonstrate the performance of our prototype RFID repeater, which also boosts the read-range of traditional RFID technology. The results of measurements campaigns conducted in different environments for the above prototypes are presented herein. Παρουσιάστηκε στο: 2021 6th International Conference on Smart and Sustainable Technologies

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b8bc70401fb57be1d7dd116c4dcfaeTest
https://doi.org/10.23919/splitech52315.2021.9566425Test

المؤلفون: A.V.,S. Rukmani, N. Kalpana, Devi, Indira

المصدر: Applied Mathematics & Information Sciences. 13:621-628

مصطلحات موضوعية: Stochastic control, Numerical Analysis, Computational Theory and Mathematics, Computer science, Applied Mathematics, Real-time computing, Wireless sensor network, Analysis, Computer Science Applications, 3d localization

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::44ccdf33292a021027aa17a8c7c771fdTest
https://doi.org/10.18576/amis/130414Test

المؤلفون: Thanabadee Bulunseechart, Pruittikorn Smithmaitrie

المصدر: Journal of Unmanned Vehicle Systems. 6:155-176

مصطلحات موضوعية: 0209 industrial biotechnology, Control and Optimization, Computer science, business.industry, Real-time computing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Aerospace Engineering, 02 engineering and technology, Computer Science Applications, Multi sensor, 020901 industrial engineering & automation, Control and Systems Engineering, Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, Global Positioning System, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, business, 3d localization

الوصف: Unmanned aerial vehicles (UAVs) have been developed to be used in complex environments. Continuity of a UAV operation when GPS is degraded or denied is crucial in many applications, such as flying near high buildings and trees, or flying outdoor-to-indoor. In this paper, an algorithm for 3D-localization during transition between indoor and outdoor environments for a UAV is presented. Localization inputs are based on information from GPS, inertial measurement unit, monocular camera, and optical flow sensor. Information is carefully selected using GPS quality indicator method corresponding to the operating environment. After that, a smoothing offset approach is employed to smooth the position estimation. The selected sensors’ data are filtered by indirect extended Kalman filter for localization and extrinsic sensor calibration in real time. Results show a seamless offset convergence of UAV localization for indoor–outdoor transition. Moreover, the proposed method of decision-making to cut off GPS measurement even when it experiences poor signal quality can still outperform conventional GPS-based cutoff method in terms of response time.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::257025046d730b6fcfc9271955bccddfTest
https://doi.org/10.1139/juvs-2018-0007Test

المؤلفون: David G. Taylor, Gregory D. Durgin, Qian Yang

المصدر: RFID

مصطلحات موضوعية: 03 medical and health sciences, 0302 clinical medicine, Training set, Computer science, Real-time computing, 0202 electrical engineering, electronic engineering, information engineering, 020206 networking & telecommunications, 030229 sport sciences, 02 engineering and technology, Motion capture, Field (computer science), 3d localization

الوصف: This paper develops a simulation model that can be used to develop and validate emerging RFID-based, sensor-fusion algorithms for fine-scale, 3D localization. Measurement-only validation of these algorithms requires exhaustive field campaigns with expensive, unwieldy, custom RF hardware and positioning systems. Our measurement-verified model not only greatly reduces the measurement burden required for testing new algorithms, but also opens the door for the application of artificial intelligence techniques that require substantial training data before implementation.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::033d608f6eeda91b66b3839adde2d013Test
https://doi.org/10.1109/rfid49298.2020.9244824Test

المؤلفون: Jihye Lee, Chumyeonghun, Hwangintae, Kimcheolsung, Kim Han Jong, Sangmi Moon, KimDaeJin

المصدر: Journal of the Institute of Electronics and Information Engineers. 54:3-13

مصطلحات موضوعية: Computer science, Real-time computing, Launch vehicle, 3d localization

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c77ff27f8af8f6d8ff0f7cfa6af3b22fTest
https://doi.org/10.5573/ieie.2017.54.9.3Test

المؤلفون: F. Murgia, Fabiola Colone, Tatiana Martelli, Carlo Bongioanni, Pierfrancesco Lombardo

مصطلحات موضوعية: aircraft detection, 020301 aerospace & aeronautics, Computer science, Real-time computing, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 020206 networking & telecommunications, 02 engineering and technology, WiFi signals, 3D localization, drones detection, passive radar, Drone, Passive radar, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 3d localization

الوصف: This paper investigates the possibility to localize small aircrafts and drones in three-dimensions by exploiting a passive radar based on WiFi transmissions. Specifically, following the latest results of the authors, where the effectiveness of the WiFibased passive radar has been demonstrated for the detection and 2D localization of small aircrafts, the advanced capability to estimate their height is demonstrated in this paper. In addition, the new capability is explored to detect and localize small commercial drones and UAVs in 3D. The experimental results achieved by means of a demonstrator developed at Sapienza University of Rome support the practical applicability of WiFi-based passive radar for improving security of small airfields and outdoor areas.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521b379c41ac2f97f2f6fd170626fe7bTest
http://hdl.handle.net/11573/1352520Test

المؤلفون: Yingcai Bi, Feng Lin, Kun Li, Ben M. Chen, Kangli Wang, Jiaxin Li

المصدر: ICCA

مصطلحات موضوعية: FOS: Computer and information sciences, 0209 industrial biotechnology, Computer science, 020208 electrical & electronic engineering, Real-time computing, Swarm behaviour, Ultra-wideband, 02 engineering and technology, Computer Science - Robotics, Extended Kalman filter, 020901 industrial engineering & automation, Inertial measurement unit, 0202 electrical engineering, electronic engineering, information engineering, Latency (engineering), Robotics (cs.RO), 3d localization

الوصف: Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade. In recent years, Ultra Wideband (UWB) emerged as a promising technology because of its impressive performance in both indoor and outdoor positioning. But algorithms relying only on UWB sensor usually result in high latency and low bandwidth, which is undesirable in some situations such as controlling a MAV. To alleviate this problem, an Extended Kalman Filter (EKF) based algorithm is proposed to fuse the Inertial Measurement Unit (IMU) and UWB, which achieved 80Hz 3D localization with significantly improved accuracy and almost no delay. To verify the effectiveness and reliability of the proposed approach, a swarm of 6 MAVs is set up to perform a light show in an indoor exhibition hall. Video and source codes are available at https://github.com/lijx10/uwbTest-localization
Comment: ICCA 2018 (The 14th IEEE International Conference on Control and Automation)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::827a37b61d2601f68689e6039a179bcbTest
https://doi.org/10.1109/icca.2018.8444329Test