المؤلفون: Zhenhao Cheng, Dongqing Zhao, Wenzhuo Guo, Linyang Li

المصدر: IET Wireless Sensor Systems, Vol 14, Iss 1-2, Pp 33-46 (2024)

مصطلحات موضوعية: fingerprint localisation, indoor navigation, multi‐input CNN, sensor fusion, Telecommunication, TK5101-6720

الوصف: Abstract Numerous applications require indoor localisation, and one of the current research areas is how to leverage low‐cost ubiquitous signals for indoor localisation. This research designs a multi‐input convolutional neural network (Multi‐CNN) localisation approach to combine natural geomagnetic signals and universal 5G communication signals. To create the location fingerprint data, the geomagnetic three‐component data and channel state information (CSI) must first undergo independent preprocessing. Subsequently, the rebuilt CSI amplitude and geomagnetic intensity are employed for separate offline training to efficiently extract the corresponding data features. Lastly, Multi‐CNN is used to estimate the user's location online. The localisation outcomes for the conference room and hall demonstrate that the Multi‐CNN algorithm can achieve average localisation accuracies of 1.41 and 2.66 m, respectively. These are higher than the single‐input CNN algorithms by 21% and 15%, and higher than backpropagation network (BPNN) algorithm by 24% and 17%, and higher than the weighted K‐nearest neighbour algorithm by 34% and 28%. The Multi‐CNN‐based localisation approach successfully fuses the diverse data, potentially satisfying most indoor localisation applications.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2043-6386Test; https://doaj.org/toc/2043-6394Test

الوصول الحر: https://doaj.org/article/84ec5a754b9b48f69232232aa4f5918fTest

المؤلفون: Mojtaba Valizadeh, Babak Ranjgar, Alessandro Niccolai, Hamid Hosseini, Soheil Rezaee, Farshad Hakimpour

المصدر: Heliyon, Vol 10, Iss 12, Pp e32852- (2024)

مصطلحات موضوعية: Augmented reality (AR), BIM, Emergency evacuation, GIS, Indoor navigation, Indoor positioning, Science (General), Q1-390, Social sciences (General), H1-99

الوصف: Nowadays with the increase of high-rise buildings, emergency evacuation is an indispensable part of urban environment management. Due to various disaster incidents occurred in indoor environments, research has concentrated on ways to deal with the different difficulties of indoor emergency evacuation. Although global navigation satellite systems (GNSSs) such as global positioning system (GPS) come in handy in outdoor spaces, they are not of much use in enclosed places, where satellite signals cannot penetrate easily. Therefore, other approaches must be considered for pedestrian navigation to cope with the indoor positioning problem. Another problem in such environments is the information of the building indoor space. The majority of the studies has used prepared maps of the building, which limits their methodology to that specific study area. However, in this study we have proposed an end-to-end method that takes advantage of BIM model of the building, thereby applicable to every structure that has an equivalent building information model (BIM). Moreover, we have used a mixture of Wi-Fi fingerprinting and pedestrian dead reckoning (PDR) method with relatively higher accuracy compared to other similar methods for navigating the user to the exit point. For implementing PDR, we used the sensors in smartphones to calculate user steps and direction. In addition, the navigational information was superimposed on the smartphone screen using augmented reality (AR) technology, thus communicating the direction information in a user-friendly manner. Finally, the AR mobile emergency evacuation application developed was assessed with a sample audience. After an experience with the app, they filled out a questionnaire which was designed in the system usability scale test (SUS) format. The evaluation results showed that the app achieved an acceptable suitability for usage.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844024088832Test; https://doaj.org/toc/2405-8440Test

الوصول الحر: https://doaj.org/article/f9ed2efbd6854b87916c799561e353eeTest

المؤلفون: Dariusz Janczak, Wojciech Walendziuk, Maciej Sadowski, Andrzej Zankiewicz, Krzysztof Konopko, Maciej Slowik, Malgorzata Gulewicz

المصدر: IEEE Access, Vol 12, Pp 55843-55858 (2024)

مصطلحات موضوعية: Indoor navigation, indoor positioning systems, localization, smart buildings, Bluetooth Low Energy, received signal strength indicator, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: The novel approach to the Low Energy Bluetooth RSSI (Received Signal Strength Indicator) examination for a personal location during the evacuation process is presented in this paper. The presented system is based on stationary locating localization nodes installed inside the facility and portable wristbands worn by people. A method based on the propagation model and preliminary determination of its characteristics is used to calculate the wristband-locator distance. The accuracy of the distance estimations is increased by assuming Gaussian model of RSSI measurements and using the estimator of RSSI mean value. A modified multilateration approach is used to estimate the person’s position in the 2D Cartesian coordinate system. The paper also includes the outcomes of experiments conducted on the proposed approach as it was applied to the prototype evacuation supervision system. The paper presents a comparison of the position estimation error for the proposed method based on the mean RSSI value estimator with the results obtained when raw RSSI values were used. Analysis and discussion of wristband position estimation error are also included.

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10500830Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/9cdacaab6dca4ace8c96ac9436c18c13Test

المؤلفون: Sinan Oguz, Mary Katherine Heinrich, Michael Allwright, Weixu Zhu, Mostafa Wahby, Emanuele Garone, Marco Dorigo

المصدر: IEEE Access, Vol 12, Pp 43378-43395 (2024)

مصطلحات موضوعية: Autonomous aerial vehicles, autonomous systems, drones, indoor navigation, multi-robot systems, multi-UAV systems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: In this work, we present an open-source unmanned aerial vehicle (UAV) platform for research in swarm robotics. In swarm robotics, groups of robots collaborate using local interactions and collectively solve tasks beyond an individual robot’s capabilities. Individual robots must have onboard processing, communication, and sensing capabilities to autonomously react to their neighbors and immediate environment. Most research involving UAVs in swarm robotics presents only simulation results, while key landmark studies with real UAV swarms have used UAV platforms that were custom-built for the respective study. One important reason for this is that no commercial UAV platform comes pre-equipped with the ability to identify and track the positions and poses of nearby drones using only onboard sensors and computation, and in research platforms, the relevant sensing technologies are currently under development. Our aim is to provide a platform that allows swarm robotics researchers to test their algorithms on real UAVs, without having to develop their own custom-built UAVs or to wait until more advanced sensing technology is ready off-the-shelf. We provide a well-documented, entirely open-source UAV platform— S-drone (Swarm-drone)—to foster and support UAV swarm research in a laboratory environment. The S-drone uses fiducial markers in the environment and cooperative feature-level sensor fusion for inter-robot tracking to track the presence, identity, relative 2D position, and relative 2D orientation of neighboring peers. The S-drone is suitable for a wide range of contexts, supports quad-camera vision-based navigation and a variety of onboard sensing, and is extensible. It is especially suited for swarm robotics research because it can operate using strictly onboard processing and sensing without the need for global positioning systems, motion capture systems, or ground stations for off-board sensing.

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10474011Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/f0dc9f7d896c437ab204b7e7a6cb3ee7Test

المؤلفون: M. VIEIRA, M. A. VIEIRA, P. VIEIRA, P. LOURO

المصدر: Sensors & Transducers, Vol 263, Iss 4, Pp 74-81 (2023)

مصطلحات موضوعية: visible light communication (vlc), geolocation, indoor navigation, bidirectional communication, wayfinding, optical sensors, transmitter/receiver, Technology (General), T1-995

الوصف: This paper introduces an innovative approach employing Visible Light Communication (VLC) to generate landmark-based routes and alert instructions, enhancing support for individuals during wayfinding activities. The system utilizes ceiling luminaries as transmitters, broadcasting map information, alerts, and path messages. Through real-time data collection by optical receivers, users are provided with the most efficient routes to navigate around congestion. Tetrachromatic identifier white sources are employed for lighting, featuring various data channels. Data is encoded, modulated, and transformed into light signals, with mobile optical receivers capturing and interpreting this information, allowing users to interact bidirectionally. The system calculates optimal routes for static or dynamic destinations, including buddy wayfinding services. Results demonstrate the system's capability to enable self-location, deduce travel direction, and facilitate efficient navigation towards both static and dynamic locations.

وصف الملف: electronic resource

العلاقة: https://sensorsportal.com/HTML/DIGEST/december_2023/Vol_263/P_3315.pdfTest; https://doaj.org/toc/2306-8515Test; https://doaj.org/toc/1726-5479Test

الوصول الحر: https://doaj.org/article/d59cee3f7d8845aeb94d79c3f30bf534Test

المؤلفون: Peng Tian, Yunjia Wang, Yong Wang, Yuan Yang

المصدر: Electronics Letters, Vol 60, Iss 8, Pp n/a-n/a (2024)

مصطلحات موضوعية: data models, indoor environment, indoor navigation, path planning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: Abstract Indoor navigation networks serve as the foundation for indoor pedestrian navigation services. However, current graph‐based topological network models cannot easily represent complex indoor structures in a manner consistent with user behaviour and cognitive patterns, and thus cannot support fine‐grained indoor navigation analysis services. To enhance the rationality of the model, we considered the influences of morphological and functional characteristics of indoor spaces on pedestrian movement and proposed a method for classifying navigation spaces. This method, based on convex space segmentation, defines morphological and functional characteristic functions, classifying indoor navigation spaces as either corridors or open spaces, which suitable for representing as median axis models or visual graphs, respectively. These categories supported the creation of topological network models for route planning analysis. Indoor map experiments confirmed the effectiveness of our method in identifying various types of corridors and open spaces, that addressing the limitations of width‐based parameters, even in complex indoor settings.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/0013-5194Test; https://doaj.org/toc/1350-911XTest

الوصول الحر: https://doaj.org/article/8a5ce03635d44b9d995cc11b507126e3Test

المؤلفون: Elsanhoury, Mahmoud, Nieminen, Jyri, Välisuo, Petri, Siemuri, Akpojoto, Koljonen, Janne, Elmusrati, Mohammed, Kuusniemi, Heidi

المساهمون: Maanmittauslaitos, National Land Survey of Finland

مصطلحات موضوعية: Asset tracking, indoor navigation, wireless technologies

الوصف: Location based services are becoming abundant and more reliable in today’s world thanks to the technological advancements achieved in the fields of positioning, navigation, and timing. Indoor asset tracking is an essential element of smart automation, warehousing, and manufacturing in industrial environments. Accurate indoor positioning systems (IPSs) exist with heavy financial costs depending on the degree of integrity required, consequently, numerous wireless based systems can be regarded as economical solutions. However, wireless positioning technologies suffer deep channel impairments especially in dense indoor venues that comprise various metallic and concrete structures. In this article, we showcase our work-in-progress research that studies a dense industrial environment in the context of indoor asset tracking. We experiment three potential wireless technologies: Ultra wideband (UWB), Bluetooth low energy (BLE) and Wi-Fi, to render a comparative assessment. Using a Multi-sensor fusion approach, we tend to complement the flaws in one technology with the merits of another, aided by physical quantity sensors like inertial motion units (IMUs). Moreover, we developed a machine learning optimization model to improve the results of the fusion based positioning scheme. The results are to be verified against millimeter-accurate reference measurements, then a seamless positioning scheme for indoor asset tracking can be achieved.

وصف الملف: application/pdf

العلاقة: WIPHAL 2023: Work-in-Progress in Hardware and Software for Location Computation 2023; CEUR workshop proceedings; 3434; 96485; http://hdl.handle.net/10138/570331Test; URN:NBN:fi-fe202401264568

الإتاحة: http://hdl.handle.net/10138/570331Test

المؤلفون: José Miguel Menéndez, Heidi Steendam

المصدر: Photonics, Vol 11, Iss 6, p 517 (2024)

مصطلحات موضوعية: VLP, Cramer–Rao bound, horizontal illuminance, indoor navigation, Applied optics. Photonics, TA1501-1820

الوصف: In this paper, we consider a visible light positioning (VLP) system, where an array of photo diodes combined with apertures is used as a directional receiver and a set of inexpensive and energy-efficient light-emitting diodes (LEDs) is used as transmitters. The paper focuses on the optimisation of the layout of the transmitter, i.e., the number and placement of the LEDs, to meet the wanted position estimation accuracy levels. To this end, we evaluate the Cramer–Rao bound (CRB), which is a lower bound on the mean-squared error (MSE) of the position estimate, to analyse the influence of the LEDs’ placement. In contrast to other works, where only the location of the LEDs was considered and/or the optimisation was carried out through simulations, in this work, the optimisation is carried out analytically and considers all the parameters involved in the VLP system as well as the illumination. Based on our results, we formulate simple rules of thumb with which we can determine the spacing between LEDs and the minimum number of LEDs, as well as their position on the ceiling, while also taking into account the requirements for the illumination.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2304-6732/11/6/517Test; https://doaj.org/toc/2304-6732Test

الوصول الحر: https://doaj.org/article/1485cacaa33040cea58f7301b59fb1b7Test

المؤلفون: Min Lu, Masatoshi Arikawa, Kohei Oba, Keiichi Ishikawa, Yuhan Jin, Tomihiro Utsumi, Ryo Sato

المصدر: Applied Sciences, Vol 14, Iss 10, p 4262 (2024)

مصطلحات موضوعية: indoor navigation, augmented reality, spatial tracking, geofencing, accumulated positioning error calibration, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

الوصف: This study presents a novel framework for improving indoor augmented reality (AR) navigation with modern smartphone technology, which is achieved by addressing two major challenges: managing large absolute coordinate spaces and reducing error accumulation in camera-based spatial tracking. Our contribution is significant in two ways. First, we integrate geofencing with indoor navigation by considering spatial tracking errors, timing for audio guidance, and dynamic 3D arrow visualization for effective local-to-global spatial coordinate transformation. This method achieves precise local positioning and seamlessly integrates with larger spatial contexts, overcoming the limitations of current AR systems. Second, we introduce a periodic image-based calibration approach to minimize the inherent error accumulation in camera-based tracking, enhancing accuracy over longer distances. Unlike prior studies focusing on individual technologies, our work explores the software architecture of indoor AR navigation by providing a comprehensive framework for its design and practical use. The practicality of our approach is validated through the implementation of a smartphone application at the Mineral Industry Museum of Akita University, highlighting the limitations of component technologies and demonstrating our framework’s effectiveness.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2076-3417/14/10/4262Test; https://doaj.org/toc/2076-3417Test

الوصول الحر: https://doaj.org/article/7946209379f64b4eb13759cc359c52caTest

المؤلفون: K.G., Preetha, Antony, Subin K., K.R., Remesh Babu, S., Saritha, U., Sangeetha

المصدر: Industrial Robot: the international journal of robotics research and application, 2022, Vol. 50, Issue 4, pp. 571-580.

الوصول الحر: http://www.emeraldinsight.com/doi/10.1108/IR-02-2022-0051Test