Relevant bibliographies by topics / Navigation-data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Navigation-data'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 June 2025

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Journal articles on the topic "Navigation-data"

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Svensson, A., and J. Holst. "Integration of Navigation Data." Journal of Navigation 48, no. 1 (1995): 114–35. http://dx.doi.org/10.1017/s0373463300012558.

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This article treats integration of navigation data from a variety of sensors in a submarine using extended Kalman filtering in order to improve the accuracy of position, velocity and heading estimates. The problem has been restricted to planar motion. The measurement system consists of an inertial navigation system, a gyro compass, a passive log, an active log and a satellite navigation system. These subsystems are briefly described and models for the measurement errors are given.Four different extended Kalman filters have been tested by computer simulations. The simulations distinctly show that the passive subsystems alone are insufficient to improve the estimate of the position obtained from the inertial navigation system. A log measuring the velocity relative to the ground or a position determining system are needed. The improvement depends on the accuracy of the measuring instruments, the extent of time the instrument can be used and which filter is being used. The most complex filter, which contains fourteen states, eight to describe the motion of the submarine and six to describe the measurement system, including a model of the inertial navigation system, works very well.
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Mindek, Peter, Gabriel Mistelbauer, Eduard Gröller, and Stefan Bruckner. "Data-sensitive visual navigation." Computers & Graphics 67 (October 2017): 77–85. http://dx.doi.org/10.1016/j.cag.2017.05.012.

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Peshekhonov, V. G. "High-Precision Navigation Independently of Global Navigation Satellite Systems Data." Gyroscopy and Navigation 13, no. 1 (2022): 1–6. http://dx.doi.org/10.1134/s2075108722010059.

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Li, Ji Zhong, and Rui Wang. "Positioning Method without Current Navigation Data." Applied Mechanics and Materials 556-562 (May 2014): 3234–37. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3234.

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Positioning errors were found through the analysis to AGPS positioning algorithm with mobile station (MS) clock error. These errors are engendered in the process of calculating the pseudo-range. Using fuzzy algorithm, the large positioning error of several hundred kilometers was eliminated. After this method, the objective function is quadratically related to the deviation of reference time. The objective function curve were fitted with three reference time values and determined the lowest point of curve to amend the reference time. This method removed residual positioning error.
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Amro, Ahmed, Aybars Oruc, Vasileios Gkioulos, and Sokratis Katsikas. "Navigation Data Anomaly Analysis and Detection." Information 13, no. 3 (2022): 104. http://dx.doi.org/10.3390/info13030104.

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Several disruptive attacks against companies in the maritime industry have led experts to consider the increased risk imposed by cyber threats as a major obstacle to undergoing digitization. The industry is heading toward increased automation and connectivity, leading to reduced human involvement in the different navigational functions and increased reliance on sensor data and software for more autonomous modes of operations. To meet the objectives of increased automation under the threat of cyber attacks, the different software modules that are expected to be involved in different navigational functions need to be prepared to detect such attacks utilizing suitable detection techniques. Therefore, we propose a systematic approach for analyzing the navigational NMEA messages carrying the data of the different sensors, their possible anomalies, malicious causes of such anomalies as well as the appropriate detection algorithms. The proposed approach is evaluated through two use cases, traditional Integrated Navigation System (INS) and Autonomous Passenger Ship (APS). The results reflect the utility of specification and frequency-based detection in detecting the identified anomalies with high confidence. Furthermore, the analysis is found to facilitate the communication of threats through indicating the possible impact of the identified anomalies against the navigational operations. Moreover, we have developed a testing environment that facilitates conducting the analysis. The environment includes a developed tool, NMEA-Manipulator that enables the invocation of the identified anomalies through a group of cyber attacks on sensor data. Our work paves the way for future work in the analysis of NMEA anomalies toward the development of an NMEA intrusion detection system.
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Zhu, Erkang, Ken Q. Pu, Fatemeh Nargesian, and Renée J. Miller. "Interactive navigation of open data linkages." Proceedings of the VLDB Endowment 10, no. 12 (2017): 1837–40. http://dx.doi.org/10.14778/3137765.3137788.

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Komamizu, Takahiro, Toshiyuki Amagasa, and Hiroyuki Kitagawa. "Faceted navigation framework for XML data." International Journal of Web Information Systems 8, no. 4 (2012): 348–70. http://dx.doi.org/10.1108/17440081211282865.

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Majumder, Somajyoti, Steve Scheding, and Hugh F. Durrant-Whyte. "Multisensor data fusion for underwater navigation." Robotics and Autonomous Systems 35, no. 2 (2001): 97–108. http://dx.doi.org/10.1016/s0921-8890(00)00126-3.

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Watts, P. A. G. "Ordnance Survey Digital Data for Navigation." Journal of Navigation 46, no. 2 (1993): 200–207. http://dx.doi.org/10.1017/s0373463300011541.

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This paper and the following three papers were presented at the EURNAV92 Conference on Digital Mapping and Navigation. This was held in London and was jointly sponsored by the RIN and the DGON. Forty-five papers were presented at the Conference and copies of the complete proceedings may be obtained from the Institute, priced at £65 for Members and £85 for Non-Members.
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Ratib, O., Y. Ligier, C. Mascarini, et al. "Multimedia image and data navigation workstation." RadioGraphics 17, no. 2 (1997): 515–21. http://dx.doi.org/10.1148/radiographics.17.2.9084087.

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Dissertations / Theses on the topic "Navigation-data"

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Chin, Yu-Chi. "The Navigation Data Logger for a Suitcase Navigation System." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28391.

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Marselli, Catherine. "Data processing of a navigation microsystem." Université de Franche-Comté. UFR des sciences et techniques, 1998. http://www.theses.fr/1998BESA2078.

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Ce travail de recherche s'inscrit dans un projet académique franco-suisse visant à déterminer les limites des microtechnologies et des microsystèmes à travers l'exemple d'un système de navigation inertiel basé sur des microaccéléromètres et des microcapteurs de vitesse angulaire (gyros). Il comprend quatre volets allant de la conception des composants au développement du système de traitement. La présente thèse réalisée à l'Institut de Microtechnique (Université de Neuchâtel, Suisse) concerne le traitement de l'information du microsystème de navigation. Les microcapteurs actuels sont moins chers mais moins précis que les capteurs mécaniques ou optiques classiques. Dans un système de navigation, le signal de sortie des accéléromètres et des gyroscopes est intégré conduisant à l'accumulation des erreurs dans le temps. Ainsi, en l'absence de correction, la trajectoire mesurée devient rapidement fausse. Le rôle du système de traitement est donc de calculer les paramètres de navigation (position, vitesse et orientation) et de limiter l'erreur de trajectoire suivant deux moyens : réduire les imperfections des capteurs et recaler régulièrement la trajectoire en utilisant un autre moyen de navigation. Ces différents objectifs sont réalisés par des filtres de Kalman. Le filtre de Kalman est un estimateur optimal de l'état d'un système. Il se présente sous la forme d'un ensemble d'équations récurrentes et nécessite une description d'état du système et des mesures<br>This research is part of a Swiss French academic project whose goal was the determination of some limits in the design and use of microtechnologies and microsystems, using as a common thread example a navigation system based on microaccelerometers and angular rate microsensors (gyros). The entire project was divided into four parts, including design at the component level as well as at the system level. This PhD report describes the data processing of the navigation microsystem realised at the Electronics and Signal Processing Laboratory of the Institute of Microtechnology, University of Neuchâtel. Current low-cost microsensors are less expensive but less accurate that mechanical or optical sensors. In a navigation system, the accelerometer and gyro outputs are integrated, leading to the accumulation of the errors. Thus, the measured trajectory becomes quickly wrong and a corrective system has to be designed. Hence, the goals of the data processing system is to compute the navigation parameters (position, velocity, orientation) while preventing the trajectory from diverging, following two approaches: reducing the sensor errors,updating regularly the trajectory using an aiding navigation system
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Igoniderigha, Nseabasi Ekaette. "Data navigation and visualization : navigating coordinated multiple views of data." Thesis, Edinburgh Napier University, 2015. http://researchrepository.napier.ac.uk/Output/8832.

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The field of coordinated and multiple views (CMVs) has been for over a decade, a promising technique for enhancing data visualization, yet that promise remains unfulfilled. Current CMVs lack a platform for flexible execution of certain kinds of open-ended tasks consequently users' are unable to achieve novel objectives. Navigation of data, though an important aspect of interactive visualization, has not generated the level of attention it should from the human computer interaction community. A number of frameworks for and categorization of navigation techniques exist, but further detailed studies are required to highlight the range of benefits improved navigation can achieve in the use of interactive tools such as CMVs. This thesis investigates the extent of support offered by CMVs to people navigating information spaces, in order to discover data, visualize these data and retrieve adequate information to achieve their goals. It also seeks to understand the basic principle of CMVs and how to apply its procedure to achieve successful navigation. Three empirical studies structured around the user's goal as they navigate CMVs are presented here. The objective of the studies is to propose a simple, but strong, design procedure to support future development of CMVs. The approach involved a comparative analysis of qualitative and quantitative experiments comprising of categorised navigation tasks carried out, initially on existing CMVs and subsequently on CMVs which had been redesigned applying the proposed design procedure. The findings show that adequate information can be retrieved, with successful navigation and effective visualization achieved more easily and in less time, where metadata is provided alongside the relevant data within the CMVs to facilitate navigation. This dissertation thus proposes and evaluates a novel design procedure to aid development of more navigable CMVs.
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Mansfield, Thomas Oliver. "Data communication signals of opportunity for navigation." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/10169.

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Mobile devices with wireless networking capabilities are used in a wide range of environments. Geolocation information increases the value of the data generated by a device and is vital in the development of a wide range of applications from autonomous vehicles to the Internet of things. Systems that generate signals specifically for geolocation have become widely adopted but, due to fundamental constraints, lack coverage and accuracy in complex urban and indoor environments. In addition to this, the reliance on a single signal source is not desirable in many applications that value the integrity of the geolocation estimate. A direction of research aiming to improve geolocation in indoor and urban environments measures signals of opportunity in order to generate a more robust estimate. While this approach improves signal availability, the unpredictable nature of these variable and uncontrolled signals leads to poor geolocation estimates, which are typically not suitable for use in many applications. This project aims to improve on the accuracy, resilience and integrity of a geolocation estimate obtained from signal of opportunity measurements in indoor and urban environments while reducing hardware requirements. This has been achieved by efficiently coupling signals of opportunity within the radio environment with other system signals, such as those from an inertial measurement unit. Research has been carried out to optimise the coupling of these data sources resulting in techniques to allow the identification and removal of key error drivers from both the radio environment and other system sensors. This thesis proposes a specifically designed extended Kalman filter to improve on the signal coupling. The filter aims to optimise the accuracy of radio environment measurements while also providing the ability to identify signal error sources in urban and indoor environments, leading to both greater accuracy and resilience of the geo-location estimate. Further, the proposed extended Kalman filter may use the radio environment as a source of geolocation data. The ability of the filter to recognise and mitigate leading radio environment error sources such as multipath and interference allowed the design of filters to obtain detailed and accurate signal strength and time of arrival information. The thesis also presents a thorough set of simulation and modelling experiments to investigate and optimise the efficiency of the proposed solutions in a range of environments. Validation testing confirmed that in the urban and indoor environments, the average error of geo-location estimates has been reduced from 10 m to 3 m without improvement to the hardware surrounding infrastructure. The improvements presented in this thesis allow networked devices to improve the value of their data by incorporating the context that comes from increased geolocation accuracy and resilience. In turn, this allows the development of a wide range of new location based applications for mobile devises in indoor and urban environments.
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Guner, Dunya Rauf Levent. "Inertial Navigation Sytem Improvement Using Ground Station Data." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615036/index.pdf.

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Missile navigation systems rely on hybrid INS/GPS systems to employ lower grade inertial sensors for the sake of cost and availability. Current inertial navigation systems on missiles can perform accurately for a limited time without GPS aiding. However, GPS is the most likely system that is going to be jammed in a crisis or war by low cost jammers by any opposing force. Missiles do not have adequate equipment to maintain accuracy when GPS is jammed completely in the battle area. In this thesis, a new method is proposed to improve performance of INS systems onboard missiles and autonomous aerial vehicles with EO sensors in a GPS denied environment. Previously laid ground based beacons are used by the missile EO/IIR seeker for bearing-only measurements and position updates are performed by the use of modified artillery survey algorithms based on triangulation techniques which involve angle measurements. For mission planning, two main problems are identified as deployment problem and path planning problem and a tool for the optimal laying of beacons for a given desired trajectory and optimal path planning for a given network of beacons is developed by using evolutionary algorithms and results for test scenarios are discussed.
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Jia, Huamin. "Data fusion methodologies for multisensor aircraft navigation systems." Thesis, Cranfield University, 2004. http://hdl.handle.net/1826/781.

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The thesis covers data fusion for aircraft navigation systems in distributed sensor systems. Data fusion methodologies are developed for the design, development, analysis and simulation of multisensor aircraft navigation systems. The problems of sensor failure detection and isolation (FDI), distributed data fusion algorithms and inertial state integrity monitoring in inertial network systems are studied. Various existing integrated navigation systems and Kalman filter architectures are reviewed and a new generalised multisensor data fusion model is presented for the design and development of multisensor navigation systems. Normalised navigation algorithms are described for data fusion filter design of inertial network systems. A normalised measurement model of skewed redundant inertial measurement units (SRIMU) is presented and performance criteria are developed to evaluate optimal configurations of SRIMUs in terms of the measurement accuracy and FDI capability. Novel sensor error compensation filters are designed for the correction of SRIMU measurement errors. Generalised likelihood ratio test (GLRT) methods are improved to detect various failure modes, including short time and sequential moving-window GLRT algorithms. State-identical and state-associated fusion algorithms are developed for two forms of distributed sensor network systems. In particular, innovative inertial network sensing models and inertial network fusion algorithms are developed to provide estimates of inertial vector states and similar node states. Fusion filter-based integrity monitoring algorithms are also presented to detect network sensor failures and to examine the consistency of node state estimates in the inertial network system. The FDI and data fusion algorithms developed in this thesis are tested and their performance is evaluated using a multisensor software simulation system developed during this study programme. The moving-window GLRT algorithms for optimal SRIMU configurations are shown to perform well and are also able to detect jump and drift failures in an inertial network system. It is concluded that the inertial network fusion algorithms could be used in a low-cost inertial network system and are capable of correctly estimating the inertial vector states and the node states.
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Gia, M. C. "Design of data structures for terrain reference navigation." Thesis, Cranfield University, 1994. http://hdl.handle.net/1826/4184.

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This thesis describes the design of a data structure for use with Digitised Terrain Elevation Data (DTED) in Terrain Reference Navigation (TRN) systems. The data structure is based on a variant of quad-tree and oct-tree data structures to provide an efficient representation of terrain in terms of storage requirements and acccss operations. These data structure are applied to flight path planning operations in mission management applications. The algorithms developed for flight path planning have becri implemented in the C programming language for a standard PC. Current research in TRN systems is reviewed and attention is given to the use of hierarchical data structures to cope with the potentially large data base needed for DTED files. Data structure combining quad-trees and oct-trees are developed with an emphasis on data reduction using pointerless trees and the use of locational codes to provide straightforward mapping between quad-trees and oct-trees, in other words, between two-dimensional co-ordinates and three-dimensional co-ordinates. Analysis of these algorithms is described for two DTED files to illustrate storage improvements and to verify a set of database access operations. These data structures are applied to problems of flight path planning where the navigation space comprises objects above a specific altitude and this three-dimensional space is searched for a flight path which avoids the obstacles and satisfies specific operational criteria. Algorithms are developed to extract a visibility graph from the terrain database and to determine the preferred flight path from a set of paths which satisfy defined constraints. Several search techniques are developed which exploit the efficiency of the quad-tree and oct-tree data structures. These methods are extended to real-time flight-path planning where predicted times for access operations are used to direct flight path extraction by varying the tree resolution during computation of the flight path. A comprehensive set of results are provided to illustrate: the storage efficiency of quad-tree and oct-tree data structures the application of pyramid structures to represent navigation space analysis of the time to compute the visibility graph and to extract flight paths integration of these methods with a real-time mission management simulation on a PC The thesis draws conclusions on the efficiency of these techniques for the represcntation of DTEDs and to access objects in TRN systems. It is observed that the use of hierarchical data structures in the form of quad-trees and oct-trees offers significant improvement in accessing DTEDS, for future use in TRN systems. The thesis concludes by outlining areas of further work where the techniques can be further &N, cloped for applications in mission management and navigation using DTED files.
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Song, Wen. "Planetary navigation activity recognition using wearable accelerometer data." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/15813.

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Master of Science<br>Department of Electrical & Computer Engineering<br>Steve Warren<br>Activity recognition can be an important part of human health awareness. Many benefits can be generated from the recognition results, including knowledge of activity intensity as it relates to wellness over time. Various activity-recognition techniques have been presented in the literature, though most address simple activity-data collection and off-line analysis. More sophisticated real-time identification is less often addressed. Therefore, it is promising to consider the combination of current off-line, activity-detection methods with wearable, embedded tools in order to create a real-time wireless human activity recognition system with improved accuracy. Different from previous work on activity recognition, the goal of this effort is to focus on specific activities that an astronaut may encounter during a mission. Planetary navigation field test (PNFT) tasks are designed to meet this need. The approach used by the KSU team is to pre-record data on the ground in normal earth gravity and seek signal features that can be used to identify, and even predict, fatigue associated with these activities. The eventual goal is to then assess/predict the condition of an astronaut in a reduced-gravity environment using these predetermined rules. Several classic machine learning algorithms, including the k-Nearest Neighbor, Naïve Bayes, C4.5 Decision Tree, and Support Vector Machine approaches, were applied to these data to identify recognition algorithms suitable for real-time application. Graphical user interfaces (GUIs) were designed for both MATLAB and LabVIEW environments to facilitate recording and data analysis. Training data for the machine learning algorithms were recorded while subjects performed each activity, and then these identification approaches were applied to new data sets with an identification accuracy of around 86%. Early results indicate that a single three-axis accelerometer is sufficient to identify the occurrence of a given PNFT activity. A custom, embedded acceleration monitoring system employing ZigBee transmission is under development for future real-time activity recognition studies. A different GUI has been implemented for this system, which uses an on-line algorithm that will seek to identify activity at a refresh rate of 1 Hz.
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Söderbäck, Karl. "Organizing HLA data for improved navigation and searchability." Thesis, Linköpings universitet, Databas och informationsteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176029.

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Pitch Technologies specializes their work on the HLA standard, a standard that specifies data exchange between simulators. The company provides a solution for recording HLA data into a database as raw byte data entries. In this thesis, different design solutions to store and organize recorded HLA data in a manner that reflects the content of the data are proposed and implemented, with the aim of making the data possible to query and analyze after recording. The design solutions impact on storage, read- and write performance as well as usability are evaluated through a suite of tests run on a PostgreSQL database and a TimescaleDB database. It is concluded that none of the design alternatives is the best solution for all aspects, but the most promising combination is proposed.
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Bender, Daniel [Verfasser]. "Airborne Navigation by Fusing Inertial and Camera Data / Daniel Bender." Bonn : Universitäts- und Landesbibliothek Bonn, 2018. http://d-nb.info/1160594554/34.

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Books on the topic "Navigation-data"

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United States. Army. Corps of Engineers, ed. Navigation Data Center. U.S. Army Corps of Engineers, 1993.

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Baldwin, Robert. Navigation Data Center user's guide. National Data Center, US Army Corps of Engineers, Water Resources Support Center, 1995.

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Congming, Cai, and National Institute of Standards and Technology (U.S.), eds. Visualizing terrain and navigation data. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Chin, Yu-Chi. The Navigation Data Logger for a Suitcase Navigation System. Naval Postgraduate School, 1991.

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Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 C-130 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Strub, Richard. BOREAS level-0 C-130 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 C-130 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Book chapters on the topic "Navigation-data"

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Amant, Robert St. "Navigation for data analysis systems." In Advances in Intelligent Data Analysis Reasoning about Data. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0052833.

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Green, Dale. "Auto-Generating Navigation Link Data." In Game AI Uncovered. CRC Press, 2024. http://dx.doi.org/10.1201/9781003324102-12.

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Friedman, Doron, and Peleg Tuchman. "Virtual Clones: Data-Driven Social Navigation." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_3.

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Kumar, Senthil, Lohith Goudagere Nagaraj, Pathik Rawal, and Pryank Rohilla. "Chapter 5: Data Binding and Navigation." In Windows 10 Development Recipes. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-0719-2_5.

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Oren, Eyal, Renaud Delbru, and Stefan Decker. "Extending Faceted Navigation for RDF Data." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11926078_40.

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Borges, José, and Mark Levene. "Data Mining of User Navigation Patterns." In Web Usage Analysis and User Profiling. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44934-5_6.

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Januszewski, Jacek. "Satellite Navigation Systems, Data Messages, Data Transfer and Formats." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24660-9_39.

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Behrens, Ralph, Thomas Kleine-Besten, Werner Pöchmüller, and Andreas Engelsberg. "Digitale Karten im Navigation Data Standard Format." In Handbuch Fahrerassistenzsysteme. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-05734-3_27.

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Harth, Andreas. "VisiNav: Visual Web Data Search and Navigation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03573-9_17.

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Jülge, Katharina, Ralph Behrens, and Roland Homeier. "Digitale Karten im Navigation Data Standard Format." In Handbuch Assistiertes und Automatisiertes Fahren. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-38486-9_22.

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Conference papers on the topic "Navigation-data"

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Zhou, Ziheng, Qi Zhang, Shanshan Zhang, et al. "Data Collection and Alignment Algorithms for Data-driven Inertial Navigation." In 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2024. https://doi.org/10.1109/ipin62893.2024.10786128.

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Zaliskyi, Maksym, Ivan Ostroumov, Nataliia Kuzmenko, and Viktoriia Ivannikova. "Algorithms of Reliability Data Processing for Navigation Systems." In 2025 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2025. https://doi.org/10.1109/icns65417.2025.10976784.

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Dokulil, Jiri, and Jana Katreniakova. "Navigation in RDF Data." In 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.12.

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Mindek, Peter, Gabriel Mistelbauer, Eduard Gröller, and Stefan Bruckner. "Data-sensitive visual navigation." In SCCG '17: Spring Conference on Computer Graphics 2017. ACM, 2017. http://dx.doi.org/10.1145/3154353.3154361.

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Polivka, Adam, Miroslav Houdek, Pieter Bastiaan Ober, and Michel Tossaint. "Satellite navigation data mining (SENDAI)." In 2015 International Association of Institutes of Navigation World Congress (IAIN). IEEE, 2015. http://dx.doi.org/10.1109/iain.2015.7352225.

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Hariharan, Gurushyam, Pasi Franti, and Sandeep Mehta. "Data mining for personal navigation." In AeroSense 2002, edited by Belur V. Dasarathy. SPIE, 2002. http://dx.doi.org/10.1117/12.460246.

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Nargesian, Fatemeh, Ken Q. Pu, Erkang Zhu, Bahar Ghadiri Bashardoost, and Renée J. Miller. "Organizing Data Lakes for Navigation." In SIGMOD/PODS '20: International Conference on Management of Data. ACM, 2020. http://dx.doi.org/10.1145/3318464.3380605.

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Varun, M., M. Naveen Joel, M. Naveen, and J. Vishnu Haran. "Quadcopter Navigation using Telemetry Data." In 2023 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2023. http://dx.doi.org/10.1109/iccci56745.2023.10128369.

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Bunt, Andrea. "Session details: Papers: data navigation." In CHI '13: CHI Conference on Human Factors in Computing Systems. ACM, 2013. http://dx.doi.org/10.1145/3250139.

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Ezzati-Jivan, Naser, and Michel R. Dagenais. "Multiscale navigation in large trace data." In 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2014. http://dx.doi.org/10.1109/ccece.2014.6901019.

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Reports on the topic "Navigation-data"

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Tsai, Tsung-Ming, David Coombs, Billibon Yoshimi, and Ernest Kent. Visualizing terrain and navigation data. National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6720.

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Lewantowicz, Zdzislaw H., and Franklin E. White. Reference Data (Navigation) in Fusion and Information Operations. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada387802.

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Evans, J. M., T. Chang, T. H. Hong, R. Bostelman, and W. R. Bunch. Three dimensional data capture in indoor environments for autonomous navigation. National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6912.

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Milner, Brian R. Evaluation of Environmental Effects on GPS Navigation Systems: Scintillation Data Collection. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408426.

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Tabbert, Cory, John Vest, and Marin Kress. Waterway engineering applications of Automatic Identification System data along the Mississippi River and at lock structures. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48264.

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The USACE, St. Louis District, is responsible for maintaining navigation channels along with multiple lock and dam structures on the Mississippi River, a vital inland waterway that carries millions of tons of commodities every year. Understanding commercial vessel traffic patterns is fundamental to informing decisions about construction projects and to efforts to improve communication to mariners. Automatic Identification System (AIS) data provides time-stamped and geo-referenced vessel position reports for most commercial vessels operating in the District’s area of interest. This paper describes how AIS data has been successfully used by St. Louis District waterway managers to (1) prevent conflicts with the navigation industry by revealing active fleeting areas that were under consideration for the construction of river training structures; and (2) identify changes in vessel approaches to a lock structure under different river flow conditions, providing operational information that could be used in future navigation alerts to mariners. This paper concludes with a list of suggested best practices for waterways managers who want to start, or expand, their use of AIS data.
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Newcomb, Matthew, Efrain Ramos-Santiago, Ryan Hoben, and Harper McCraw. LaGrange Lock and Dam, Illinois River : navigation approach physical model. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49670.

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A physical model study of the LaGrange Lock and Dam was conducted to optimize the navigation conditions for the new landside lock chamber design developed by the US Army Corps of Engineers–Rock Island District, Inland Navigation Design Center, and Stanley Consultants. A 1:120 Froude scale model was built to evaluate the navigation conditions for tows entering and exiting the upper and lower approaches. The final design consisted of a new 1,200 ft lock chamber located landward of the existing chamber. Data were collected to evaluate tow tracks and current direction and velocity information. Satisfactory navigation conditions were developed, and details are shown in the results section of this report.
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Larry G. Stolarczyk, Gerald L. Stolarczyk, Larry Icerman, John Howard, and Hooman Tehrani. Development of Radar Navigation and Radio Data Transmission for Microhole Coiled Tubing Bottom Hole Assemblies. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/935201.

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Goldberger, Lexie, Fan Mei, John Hubbe, and C. Kluzek. Navigation and Meteorological Data from Multiple Sensors on Airborne Platform (NAVMET-AIR) Value-Added Product Report. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1671342.

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Allen, Yvonne C., and Glenn M. Suir. Using High-Resolution, Regional-Scale Data to Characterize Floating Aquatic Nuisance Vegetation in Coastal Louisiana Navigation Channels. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada592770.

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Glandon, S. Ross, Casey L. Lorenzen, William F. Farthing, et al. Analysis tools and techniques for evaluating quality in synthetic data generated by the Virtual Autonomous Navigation Environment. US Army Engineer Research and Development Center, 2025. https://doi.org/10.21079/11681/49708.

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The capability to produce high-quality labeled synthetic image data is an important tool for building and maintaining machine learning datasets. However, ensuring computer-generated data is of high quality is very challenging. This report describes an effort to evaluate and improve synthetic image data generated by the Virtual Autonomous Navigation Environment’s Environment and Sensor Engine (VANE::ESE), as well as documenting a set of tools developed to process, analyze, and train models from, image datasets generated by VANE::ESE. Additionally, the results of several experiments are presented, including an investigation into using explainable AI techniques, and direct comparisons of various models trained on multiple synthetic datasets.
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