المؤلفون: Ruotsalainen, Laura, Morrison, Aiden, Mäkelä, Maija, Rantanen, Jesperi, Sokolova, Nadezda

المساهمون: Maanmittauslaitos, National Land Survey of Finland

مصطلحات موضوعية: cameras, navigation, feature extraction, collaboration, sensors, computer vision, visual odometry, collaborative navigation, depth cameras, indoor navigation, Kalman filtering, object detection

وصف الملف: 4816 - 4826; application/pdf

العلاقة: IEEE sensors journal; 22; 48088; http://hdl.handle.net/10138/572962Test; URN:NBN:fi-fe2024031210828

الإتاحة: http://hdl.handle.net/10138/572962Test

المؤلفون: Kachurka, Viachaslau, Rault, Bastien, Ireta Muñoz, Fernando Israel, Roussel, David, Bonardi, Fabien, Didier, Jean-Yves, Hadj-Abdelkader, Hicham, Bouchafa, Samia, Alliez, Pierre, Robin, Maxime

المساهمون: Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, INNODURA TB, Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-17-MALN-0004,LOCA-3D,Localisation Orientation et CArtographie 3D(2017), ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

المصدر: ISSN: 1530-437X ; IEEE Sensors Journal ; https://hal.science/hal-03609471Test ; IEEE Sensors Journal, 2022, 22 (6), pp.5122--5132. ⟨10.1109/JSEN.2021.3101121⟩.

مصطلحات موضوعية: Computer vision, Simultaneous localization and mapping, Sensor fusion, Indoor navigation, Embedded software, Terrain mapping, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

العلاقة: hal-03609471; https://hal.science/hal-03609471Test; https://hal.science/hal-03609471/documentTest; https://hal.science/hal-03609471/file/Kachurka2022.pdfTest

الإتاحة: https://doi.org/10.1109/JSEN.2021.3101121Test
https://hal.science/hal-03609471Test
https://hal.science/hal-03609471/documentTest
https://hal.science/hal-03609471/file/Kachurka2022.pdfTest

المؤلفون: Ruotsalainen, Laura, Morrison, Aiden, Mäkelä, Maija, Rantanen, Jesperi, Sokolova, Nadezda

المساهمون: Department of Computer Science, SUSTAINABLE URBAN DEVELOPMENT EMERGING FROM THE MERGER OF CUTTING-EDGE CLIMATE, SOCIAL AND COMPUTER SCIENCES, Helsinki Institute of Sustainability Science (HELSUS), Spatiotemporal Data Analysis

مصطلحات موضوعية: 113 Computer and information sciences, Cameras, Navigation, Feature extraction, Collaboration, Sensors, Computer vision, Visual odometry, Collaborative navigation, depth cameras, indoor navigation, Kalman filtering, object detection, ODOMETRY

وصف الملف: application/pdf

العلاقة: Ruotsalainen , L , Morrison , A , Mäkelä , M , Rantanen , J & Sokolova , N 2022 , ' Improving Computer Vision Based Perception for Collaborative Indoor Navigation ' , IEEE Sensors Journal , vol. 22 , no. 6 , pp. 4816-4826 . https://doi.org/10.1109/JSEN.2021.3106257Test; ORCID: /0000-0002-4057-4143/work/111175298; 85113288807; cf8e4e1f-8411-4ff4-a543-3fe9fa6b4d69; http://hdl.handle.net/10138/342493Test; 000770054800012

الإتاحة: http://hdl.handle.net/10138/342493Test

المؤلفون: Ansh Shah, Parth Kansara, Parth Meswani, Prof. Prachi Tawde

مصطلحات موضوعية: Indoor Navigation, Computer Vision, Natural Language Processing, Matterport 3D

العلاقة: https://zenodo.org/communities/amaljyothiTest; https://zenodo.org/record/5090533Test; https://doi.org/10.5281/zenodo.5090533Test; oai:zenodo.org:5090533

الإتاحة: https://doi.org/10.5281/zenodo.5090533Test
https://doi.org/10.5281/zenodo.5090532Test
https://zenodo.org/record/5090533Test

المؤلفون: Jayakanth Kunhoth, AbdelGhani Karkar, Somaya Al-Maadeed, Asma Al-Attiyah

المصدر: International Journal of Health Geographics, Vol 18, Iss 1, Pp 1-18 (2019)

مصطلحات موضوعية: Indoor navigation, People with visual impairments, Computer vision, Mobile technology, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1476-072XTest

الوصول الحر: https://doaj.org/article/ec90aff77ecc498aa8aeb3e05c38c982Test

المؤلفون: David Roussel, Jean-Yves Didier, Samia Bouchafa, Maxime Robin, Fernando I. Ireta Munoz, Bastien Rault, Fabien Bonardi, Viachaslau Kachurka, Pierre Alliez, Hicham Hadj-Abdelkader

المساهمون: Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, INNODURA TB, Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-17-MALN-0004,LOCA-3D,Localisation Orientation et CArtographie 3D(2017), ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

المصدر: IEEE Sensors Journal
IEEE Sensors Journal, 2022, 22 (6), pp.5122--5132. ⟨10.1109/JSEN.2021.3101121⟩
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/JSEN.2021.3101121⟩
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2022, pp.1-1. ⟨10.1109/JSEN.2021.3101121⟩

مصطلحات موضوعية: Computer science, Real-time computing, Wearable computer, Simultaneous localization and mapping, Indoor navigation, GPS signals, 01 natural sciences, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 0101 mathematics, Electrical and Electronic Engineering, Instrumentation, Sensor fusion, business.industry, 010102 general mathematics, 010401 analytical chemistry, 3D reconstruction, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Tracking system, 0104 chemical sciences, Embedded software, Trajectory, Global Positioning System, Computer vision, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Terrain mapping

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe4c9ab17ba6bfaeecd3c0077427f742Test
https://doi.org/10.1109/jsen.2021.3101121Test

المؤلفون: Mostafa Elgendy, Tibor Guzsvinecz, Cecilia Sik-Lanyi

المصدر: Applied Sciences; Volume 9; Issue 23; Pages: 5110

مصطلحات موضوعية: smartphone, assistive technology, visually impaired, navigational system, indoor navigation, computer vision, markers

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app9235110Test

الإتاحة: https://doi.org/10.3390/app9235110Test

المؤلفون: Tamer Fath-Allah, Mohamed El Tokhey, Ahmed E. Ragheb, Ayman Ragab, Mohamed Ramadan

المصدر: Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 3649-3658 (2021)

مصطلحات موضوعية: Matching (statistics), Computer science, 020209 energy, Visual odometry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-invariant feature transform, 02 engineering and technology, Indoor navigation, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Feature descriptor, Inertial navigation system, Orb (optics), RANSAC, Image matching, business.industry, Distortion (optics), Feature detector, 020208 electrical & electronic engineering, Perspective (graphical), General Engineering, Engineering (General). Civil engineering (General), Artificial intelligence, TA1-2040, business, Rotation (mathematics)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b828498775f67d3e9cfb5904656be7Test
http://www.sciencedirect.com/science/article/pii/S2090447921002173Test

المؤلفون: Iker Azurmendi Marquínez

المساهمون: Zulueta Guerrero, Ekaitz, Máster Universitario en Ingeniería de Control, Automatización y Robótica, Kontrol Ingeniaritza, Automatizazioa eta Robotika Masterra, Kontrol Ingeniaritza, Automatizazioa eta Robotika Unibertsitate Masterra

المصدر: Addi. Archivo Digital para la Docencia y la Investigación
instname

مصطلحات موضوعية: aprendizaje profundo, detección de obstáculo, ikaskuntza sakona, barne nabigazio autonomoa, deep learning, convolutional neural network, sare neuronal konboluzionala, navegación autónoma de interiores, line following, computer vision, lerroen jarraipena, red neuronal convolucional, obstacle detection, autonomous indoor navigation, seguimiento de líneas, ikusmen artifiziala, oztopoen detekzioa, seguimiento del vehículo, ibilgailuen jarraipena, visión, vehicle tracking

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::998c2dafa02d4fda57071ab5bc406d24Test
http://hdl.handle.net/10810/57117Test

المؤلفون: Everton L. Berz, Deivid A. Tesch, Fabiano P. Hessel

المصدر: IET Cyber-Physical Systems (2018)

مصطلحات موضوعية: indoor navigation, object detection, radiofrequency identification, support vector machines, regression analysis, neural nets, computer vision, learning (artificial intelligence), image fusion, machine-learning-based system, multisensor 3D localisation, stationary objects, object localisation, people localisation, indoor environments, security issues, Indoor positioning systems, localisation performance, multisensor IPS, three-dimensional location, radio-frequency identification technology, support vector regression, artificial neural networks, k-means technique, computer vision subsystem, visual markers, RFID localisation, CV subsystems, region of interest, bi-dimensional scenarios, localisation error, ANN models, SVR models, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0067Test; https://doaj.org/toc/2398-3396Test

الوصول الحر: https://doaj.org/article/2d5247848e5446f38134226aec95e6b7Test