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Titre : Adaptive filtering : recent advances and practical implementation Type de document : Monographie Auteurs : Wenping Cao, Éditeur scientifique ; Qian Zhang, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 ISBN/ISSN/EAN : 978-1-83962-378-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] covariance
[Termes IGN] distribution de Maxwell
[Termes IGN] erreur de positionnement
[Termes IGN] filtre adaptatif
[Termes IGN] filtre de Kalman
[Termes IGN] fusion de données
[Termes IGN] positionnement en intérieur
[Termes IGN] positionnement par GPS
[Termes IGN] réseau local sans filRésumé : (Editeur) Active filters are key technologies in applications such as telecommunications, advanced control, smart grids, and green transport. This book provides an update of the latest technological progress in signal processing and adaptive filters, with a focus on Kalman filters and applications. It illustrates fundamentals and guides filter design for specific applications, primarily for graduate students, academics, and industrial engineers who are interested in the theoretical, experimental, and design aspects of active filter technologies. Note de contenu : 1. Fundamentals of Narrowband Array Signal Processing / By Zeeshan Ahmad
2. Reconfigurable Filter Design / By Tae-Hak Lee, Sang-Gyu Lee, Jean-Jacques Laurin and Ke Wu
3. Kalman Filter Estimation and Its Implementation / By Erick Ulin-Avila and Juan Ponce-Hernandez
4. A Constant Gain Kalman Filter for Wireless Sensor Network and Maneuvering Target Tracking / By Peeyush Awasthi, Ashwin Yadav, Naren Naik and Mudambi Ramaswamy Ananthasayanam
5. Parameter Estimation of Weighted Maxwell-Boltzmann Distribution Using Simulated and Real Life Data Sets / By Javaid Ahmad Reshi, Bilal Ahmad Para and Shahzad Ahmad Bhat
6. Averaging Indoor Localization System / By Eman Shawky Abd El-Fattah AmerNuméro de notice : 26704 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.91562 Date de publication en ligne : 20/10/2021 En ligne : https://doi.org/10.5772/intechopen.91562 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99406
Titre : Artificial intelligence methods applied to urban remote sensing and GIS Type de document : Monographie Auteurs : Chang-Wook Lee, Éditeur scientifique ; Hyangsun Han, Éditeur scientifique ; Hoonyol Lee, Éditeur scientifique ; Yu-Chul Park, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 166 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-1603-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage profond
[Termes IGN] carte thématique
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] Corée du sud
[Termes IGN] effondrement de terrain
[Termes IGN] espace vert
[Termes IGN] image à très haute résolution
[Termes IGN] image radar moirée
[Termes IGN] indice de végétation
[Termes IGN] intelligence artificielle
[Termes IGN] Jakarta (Indonésie)
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] Mexique
[Termes IGN] milieu urbain
[Termes IGN] pollution des eaux
[Termes IGN] réseau local sans fil
[Termes IGN] segmentation sémantique
[Termes IGN] séisme
[Termes IGN] système d'information géographiqueRésumé : (éditeur) This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas. Note de contenu : 1- Improvement of earthquake risk awareness and seismic literacy of Korean citizens through earthquake vulnerability map from the 2017 Pohang earthquake, South Korea
2- Land subsidence susceptibility mapping in Jakarta using functional and meta-ensemble machine learning algorithm based on time-series InSAR data
3- Integration of InSAR time-series data and GIS to assess Llnd subsidence along subway lines in the Seoul metropolitan area, South Korea
4- Mapping urban green spaces at the metropolitan level using very high resolution satellite imagery and deep learning techniques for semantic segmentation
5- Susceptibility analysis of the Mt. Umyeon landslide area using a physical slope model and probabilistic method
6- Intelligent WSN system for water quality analysis using machine learning algorithms: A case study (Tahuando River from Ecuador)
7- Groundwater potential mapping using remote sensing and GIS-based machine learning techniquesNuméro de notice : 28667 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-1603-5 En ligne : https://doi.org/10.3390/books978-3-0365-1603-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99870 Temporal calibration and synchronization of robotic total stations for kinematic multi-sensor-systems / Tomas Thalmann in Journal of applied geodesy, vol 15 n° 1 (January 2021)
Titre : Temporal calibration and synchronization of robotic total stations for kinematic multi-sensor-systems Type de document : Article/Communication Auteurs : Tomas Thalmann, Auteur ; Hans Neuner, Auteur Année de publication : 2021 Article en page(s) : pp 13 - 30 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] étalonnage
[Termes IGN] positionnement cinématique
[Termes IGN] référentiel
[Termes IGN] réseau local sans fil
[Termes IGN] synchronisation
[Termes IGN] tachéomètre électronique robotisé
[Termes IGN] tenseurRésumé : (auteur) Despite the increasing interest in kinematic data acquisition, Robotic Total Stations (RTSs) are still relatively seldom used. No matter if Mobile Mapping Systems or Control & Guidance, GNSS is mostly used as position sensor, which limits the application to outdoor areas. For indoor applications, a combination of relative sensors is usually employed. One reason why RTSs are not used is the challenging time referencing and synchronization. In this work we analyze the challenges of a synchronized kinematic application of RTSs and present solutions. Our approach is based on a wireless network synchronization to establish a precise temporal reference frame. The achievable synchronization quality is thoroughly examined. In addition we develop a kinematic model of spherical measurements, that incorporates timing related parameters. To estimate these parameters we propose a temporal calibration utilizing an industrial robot. Both parts of our approach are evaluated using a test setup of two total stations, proofing an overall synchronization accuracy of 0.2 ms. An overall horizontal kinematic point accuracy of 2.3 mm reveals the potential of sufficiently synchronized RTSs. Numéro de notice : A2021-043 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/jag-2019-0070 Date de publication en ligne : 16/12/2020 En ligne : https://doi.org/10.1515/jag-2019-0070 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96770
in Journal of applied geodesy > vol 15 n° 1 (January 2021) . - pp 13 - 30[article]
Titre : Improved indoor positioning based on range-free RSSI fingerprint method Type de document : Article/Communication Auteurs : Marcin Uradzinski, Auteur ; Hang Guo, Auteur ; Min Yu, Auteur Année de publication : 2020 Article en page(s) : pp 23 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] Bluetooth
[Termes IGN] détection du signal
[Termes IGN] empreinte
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] positionnement en intérieur
[Termes IGN] précision du positionnement
[Termes IGN] réseau local sans fil
[Termes IGN] service fondé sur la positionRésumé : (auteur) As the development of modern science and technology, LBS and location-aware computing are increasingly important in the practical applications. Currently, GPS positioning system is a mature positioning technology used widely, but signals are easily absorbed, reflected by buildings, and attenuate seriously. In such situation, GPS positioning is not suitable for using in the indoor environment. Wireless sensor networks, such as ZigBee technology, can provide RSSI (received signal strength indicator) which can be used for positioning, especially indoor positioning, and therefore for location based services (LBS).The authors are focused on the fingerprint database method which is suitable for calculating the coordinates of a pedestrian location. This positioning method can use the signal strength indication between the reference nodes and positioning nodes, and design algorithms for positioning. In the wireless sensor networks, according to whether measuring the distance between the nodes in the positioning process, the positioning modes are divided into two categories which are range-based and range-free positioning modes. This paper describes newly improved indoor positioning method based on RSSI fingerprint database, which is range-free. Presented fingerprint database positioning can provide more accurate positioning results, and the accuracy of establishing fingerprint database will affect the accuracy of indoor positioning. In this paper, we propose a new method about the average threshold and the effective data domain filtering method to optimize the fingerprint database of ZigBee technology. Indoor experiment, which was conducted at the University of Warmia and Mazury, proved that the distance achieved by this system has been extended over 30 meters without decreasing the positioning accuracy. The weighted nearest algorithm was chosen and used to calculate user’s location, and then the results were compared and analyzed. As a result, the positioning accuracy was improved and error did not exceed 0.69 m. Therefore, such system can be easily applied in a bigger space inside the buildings, underground mines or in the other location based services. Numéro de notice : A2020-421 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/jogs-2020-0004 Date de publication en ligne : 04/05/2020 En ligne : https://doi.org/10.1515/jogs-2020-0004 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95479
in Journal of geodetic science > vol 10 n° 1 (January 2020) . - pp 23 - 28[article]
Titre : Indoor positioning technologies Type de document : Thèse/HDR Auteurs : R. Mautz, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2012 Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 86 Importance : 122 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-908440-31-4 Note générale : Bibliographie
Habilitation ThesisLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] analyse comparative
[Termes IGN] caméra vidéo
[Termes IGN] couplage GNSS-INS
[Termes IGN] GNSS assisté pour la navigation
[Termes IGN] navigation inertielle
[Termes IGN] onde radioélectrique
[Termes IGN] positionnement en intérieur
[Termes IGN] précision métrique
[Termes IGN] pseudolite
[Termes IGN] rayonnement infrarouge
[Termes IGN] réseau local sans filIndex. décimale : 30.70 Navigation et positionnement Résumé : (Auteur) In the age has of automation the ability to navigate persons and devices in indoor environments has become increasingly important for a rising number of applications. With the emergence of global satellite positioning systems, the performance of outdoor positioning has become excellent, but many mass market applications require seamless positioning capabilities in all environments. Therefore indoor positioning has become a focus of research and development during the past decade. It has by now become apparent that there is no overall solution based on a single technology, such as that provided outdoors by satellite-based navigation. We are still far away from achieving cheap provision of global indoor positioning with an accuracy of 1 meter. Current systems require dedicated local infrastructure and customized mobile units. As a result, the requirements for every application must be analyzed separately to provide an individually tailored solution. Therefore it is important to assess the performance parameters of all technologies capable of indoor positioning and match them with the user requirements which have to be described precisely for each application. Such descriptions must be based on a market analysis where the requirements parameters need to be carefully weighed against each other. The number of relevant requirements parameters is large (e.g. accuracy, coverage, integrity, availability, update rate, latency, costs, infrastructure, privacy, approval, robustness, intrusiveness etc.). But also the diversity of different technologies is large, making it a complex process to match a suitable technology with an application. At the highest level, all technologies can be divided into categories employing three different physical principles: inertial navigation (accelerometers and gyroscopes maintaining angular momentum), mechanical waves (i.e. audible and ultra-sound) and electromagnetic waves (i.e. using the visible, infrared, microwave and radio spectrum). Systems making use of the radio spectrum include FM radios, radars, cellular networks, DECT phones, WLAN, ZigBee RFID, ultra-wideband, high sensitives GNSS and pseudolite systems.
This thesis categorizes all sighted indoor positioning approaches into 13 distinct technologies and describes the measuring principles of each. Individual approaches are characterized and key performance parameters are quantified. For a better overview, these parameters are briefly compared in table form for each technology.Note de contenu : 1 Introduction
1.1 Motivation
1.2 Previous Surveys
1.3 Overview of Technologies
1.4 Indoor Positioning Applications
1.5 Structure of this Work
2 User
2.1 Requirements Parameters Overview
2.2 Positioning Requirements Parameters Definition
2.3 Man Machine Interface Requirements
2.4 Security and Privacy Requirements
2.5 Costs
2.6 Generic Derivation of User Requirements.
2.7 Requirements for Selected Indoor Applications
3 Definition of Terms
3.1 Disambiguation of Terms for Positioning
3.2 Definition of Technical Terms
3.3 The Basic Measuring Principles
3.4 Positioning Methods
4 Cameras
4.1 Reference from 3D Building Models
4.2 Reference from Images
4.3 Reference from Deployed Coded Targets
4.4 Reference from Projected Targets
4.5 Systems without Reference
4.6 Reference from Other Sensors
4.7 Summary on Camera Based Indoor Positioning Systems
5 Infrared
5.1 Active Beacons
5.2 Imaging of Natural Infrared Radiation
5.3 Imaging of Artificial Infrared Light
5.4 Summary on Infrared Indoor Positioning Systems
6 Tactile and Combined Polar Systems
6.1 Tactile Systems
6.2 Combined Polar Systems
6.3 Summary on Tactile and Combined Polar Systems
7 Sound
7.1 Ultrasound
7.2 Audible Sound
7.3 Summary on Sound Systems
8 WLAN / Wi-Fi
8.1 Propagation Modeling
8.2 Cell of Origin
8.3 Empirical Fingerprinting
8.4 WLAN Distance Based Methods (PathlossBased Positioning)
8.5 Summary on WLAN Systems
9 Radio Frequency Identification
9.1 Active RFID
9.2 Passive RFID
9.3 Summary on RFID Systems
10 Ultra-Wideband
10.1 Range Estimation Using UWB
10.2 Multipath Mitigation Using UWB
10.3 Positioning Methods Using UWB
10.4 Commercial UWB Systems
10.5 Summary on UltraWideband Systems
11 High Sensitive GNSS / Assisted GNSS
11.1 Signal Attenuation
11.2 Assisted GNSS
11.3 Long Integration and Parallel Correlation
11.4 Summary on High Sensitive GNSS
12 Pseudolites
12.1 Pseudolites Using Signals Different to GNSS
12.2 GNSS Repeaters
12.3 Summary on Pseudolite Systems
13 Other Radio Frequency Technologies
13.1 ZigBee
13.2 Bluetooth
13.3 DECT Phones
13.4 Digital Television
13.5 Cellular Networks
13.6 Radar
13.7 FM Radio
13.8 Summary on Radio Systems
14 Inertial Navigation Systems
14.1 INS Navigation without External Infrastructure
14.2 Pedestrian Dead Reckoning
14.3 INS Pedestrian Navigation Using Complementary Sensors
14.4 Foot Mounted Pedestrian Navigation
14.5 Summary on INS Based Systems
15 Magnetic Localization
15.1 Systems Using the Antenna Near Field
15.2 Systems Using Magnetic Fields from Currents
15.3 Systems Using Permanent Magnets
15.4 Systems Using Magnetic Fingerprinting
15.5 Summary on Magnetic Localization
16 Infrastructure Systems
16.1 Power Lines
16.2 Floor Tiles
16.3 Fluorescent Lamps
16.4 Leaky Feeder Cables
16.5 Summary on Infrastructure Systems
17 Concluding Remarks
17.1 Conclusion
17.2 OutlookNuméro de notice : 15548 Affiliation des auteurs : non IGN Autre URL associée : URL ETH Zurich Thématique : POSITIONNEMENT Nature : Monographie DOI : 10.3929/ethz-a-007313554 En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-86.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62760 Réservation
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