Relevant bibliographies by topics / Inertial navigation systems

Academic literature on the topic 'Inertial navigation systems'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Inertial navigation systems"

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Kortunov, V. I., I. Yu Dybska, G. A. Proskura, and T. Trachsel. "Accuracy Analysis of Strapdown Inertial Navigation Systems." Kosmìčna nauka ì tehnologìâ 13, no. 4 (July 30, 2007): 40–48. http://dx.doi.org/10.15407/knit2007.04.040.

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Turygin, Yuri, Pavol Božek, Yuri Nikitin, Ella Sosnovich, and Andrey Abramov. "Enhancing the reliability of mobile robots control process via reverse validation." International Journal of Advanced Robotic Systems 13, no. 6 (December 1, 2016): 172988141668052. http://dx.doi.org/10.1177/1729881416680521.

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The article deals with integrating the inertial navigation unit implemented into the system of controlling the robot. It analyses the dynamic properties of the sensors of the inertial unit, for example, gyroscopes and accelerometers. The implementation of the original system of controlling the mobile robot on the basis of autonomous navigation systems is a dominant part of the article. The integration of navigational information represents the actual issue of reaching higher accuracy of required navigational parameters using more or less accurate navigation systems. The inertial navigation is the navigation based on uninterrupted evaluation of the position of a navigated object by utilizing the sensors that are sensitive to motion, that is, gyroscopes and accelerometers, which are regarded as primary inertial sensors or other sensors located on the navigated object.
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Szelmanowski, Andrzej, Mirosław Nowakowski, Zbigniew Jakielaszek, and Piotr Rogala. "Computer-based method for the technical condition evaluation of the Cardan inertial navigation system for the highly maneuverable aircraft." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 20, no. 1-2 (February 28, 2019): 344–51. http://dx.doi.org/10.24136/atest.2019.064.

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Paper presents the original computer-based method of the technical condition evaluation of the analog inertial navigation systems on the basis of the calculated inertial speed course analysis. There are presented the mathematical relationships describing the influence of the angular velocity and linear accelerations sensors errors (used in inertial navigation systems on board the military aircraft) with the relation to the discrepancies of the calculated pilot-navigational parameters (such as inertial speed components and navigational position coordinates). On the example of the Cardan navigation system IKW-8 (used on board the highly-maneuverable SU-22 aircraft) there are presented the inertial speed course measurement and analysis possibilities as well as the criteria of technical condition evaluation and determination of the tendency of its changes.
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Vaispacher, Tomáš, Róbert Bréda, and František Adamčík. "Error Analysis of Inertial Navigation Systems Using Test Algorithms." Naše more 62, SI (October 2015): 204–8. http://dx.doi.org/10.17818/nm/2015/si21.

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Kovalenko, A. M., and A. A. Shejnikov. "Model of the inertial and optical navigation system of the unmanned aerial vehicle." «System analysis and applied information science», no. 2 (August 18, 2020): 17–25. http://dx.doi.org/10.21122/2309-4923-2020-2-17-25.

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In article approaches to creation of the complex inertial and optical navigation system of the short-range tactical unmanned aerial vehicle are considered. Algorithms constant and periodic (in intermediate points of a route) are offered correction of the platformless onboard inertial navigation system. At integration of information on parameters of the movement of the unmanned aerial vehicle (received from the considered systems) the invariant loosely coupled scheme of data processing on the basis of the expanded filter of Kallman was used that allowed to lower significantly a systematic component of an error of the platformless inertial navigation system. Advantages of the complex inertial and optical navigation system when ensuring flight of the unmanned aerial vehicle in an area of coverage of means of radio-electronic fight of the opponent are shown. The results of modeling confirming a possibility of ensuring precision characteristics of the inertial and optical navigation system in the absence of signals of satellite radio navigational systems are presented.
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Novikov, P. V., A. A. Sheypak, V. N. Gerdi, V. V. Novikov, and V. N. Enin. "Algorithm for navigation of ground-based transport-technological facilities on the basis of integrated inertial-satellite navigation and odometer data." Izvestiya MGTU MAMI 11, no. 2 (June 15, 2017): 31–39. http://dx.doi.org/10.17816/2074-0530-66895.

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The dynamic development of navigation technologies has led to the emergence of practical applications for the solution of the problem of navigation of ground transport and technological facilities (GTTF). The most promising way of solving the navigation problem of GTTF is the creation of integrated inertial-satellite navigation systems. For a long period of time, the widespread use of navigation systems for transport applications was constrained by their high cost. The appearance of low-cost microelectromechanical (MEMS) inertial sensors on the market of navigation equipment provided the technological basis for the creation of small-scale inertial-satellite navigation systems. For transport applications, integrated inertial-satellite are integrated with additional information sensors, which include the odometer. Implementation of integrated systems is impeded by massively high level of intrinsic errors in MEMS sensors, as well as by the low accuracy of determining navigational parameters in the zone where the satellite signal of the satellite navigation systems is not stable. It is obvious that the development of methods for processing measurement information and the synthesis of specialized algorithms that ensure the accuracy of navigation systems GTTF is an urgent scientific task. In this paper, a schematic and technical solution for constructing an integrated inertial-satellite navigation systems with an integrated odometer sensor is presented and justified. A specialized navigation algorithm is developed that provides an integrated navigation solution for data coming from heterogeneous sources of measurements. A detailed functional diagram of the algorithm is given. A set of functional criteria for the quality and reliability of the navigation solution is defined. Correction algorithms for the main kinematic parameters of the trajectory motion of the GTTF - the true course angle, the location coordinates, the velocity vector components, are developed. The developed algorithm is invariant to the type of inertial sensors and in this sense is unified. Performance was confirmed by the results of full-scale tests of the navigation system of a forklift truck carrying out freight traffic on the territory of the seaport.
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Ushaq, Muhammad, and Jian Cheng Fang. "An Improved and Efficient Algorithm for SINS/GPS/Doppler Integrated Navigation Systems." Applied Mechanics and Materials 245 (December 2012): 323–29. http://dx.doi.org/10.4028/www.scientific.net/amm.245.323.

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Inertial navigation systems exhibit position errors that tend to grow with time in an unbounded mode. This degradation is due, in part, to errors in the initialization of the inertial measurement unit and inertial sensor imperfections such as accelerometer biases and gyroscope drifts. Mitigation to this growth and bounding the errors is to update the inertial navigation system periodically with external position (and/or velocity, attitude) fixes. The synergistic effect is obtained through external measurements updating the inertial navigation system using Kalman filter algorithm. It is a natural requirement that the inertial data and data from the external aids be combined in an optimal and efficient manner. In this paper an efficient method for integration of Strapdown Inertia Navigation System (SINS), Global Positioning System (GPS) and Doppler radar is presented using a centralized linear Kalman filter by treating vector measurements with uncorrelated errors as scalars. Two main advantages have been obtained with this improved scheme. First is the reduced computation time as the number of arithmetic computation required for processing a vector as successive scalar measurements is significantly less than the corresponding number of operations for vector measurement processing. Second advantage is the improved numerical accuracy as avoiding matrix inversion in the implementation of covariance equations improves the robustness of the covariance computations against round off errors.
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E, Topolskov, Beljaevskiy L. L, and Serdjuke A. "IMPROVEMENT OF NAVIGATION SYSTEMS OF VEHICLES BY MEANS OF INERTIAL SENSORS AND INFORMATION PROCESSING USING PROBABILITY-GEOMETRIC METHODS." National Transport University Bulletin 1, no. 46 (2020): 353–64. http://dx.doi.org/10.33744/2308-6645-2020-1-46-353-364.

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Providing high accuracy of the coordinates and trajectories of objects by measurements conducted in navigation systems and complexes is an urgent task, which improves safety and efficiency of different modes of transport. However difficult environmental conditions, where vehicles are commonly used, stipulate influence of different factors on performance of onboard satellite navigation receivers, which are used as basic navigation devices for ground vehicle nowadays. Setting on cars used for common purposes additional navigation devices, which provide better performance, in most cases is economically unreasonable. Economically reasonable ways to improve onboard navigation complexes of vehicles, which are used for common purposes, are examined in this article. Functional diagram and principles of work of navigational complex, which uses the satellite navigation receiver and simplified variant of inertial navigation system is pointed as well. Also, the justification of methods for minimizing the error formats of coordinates and trajectories of moving objects based on information processing in multipositional, in particular satellite-inertial navigation systems and complexes, is presented. The obtained research results give an opportunity to develop an algorithm for coordinate refinement, which can be implemented in the improved on-board navigational complex of vehicle. KEY WORDS: NAVIGATION SYSTEMS AND COMPLEXES, INERTIAL SENSORS, NAVIGATION DEFINITIONS, ACCURACY AND RELIABILITY OF COORDINATES AND TRAJECTORIES OF MOVING OBJECTS, ELLIPS OF ERRORS, PROBABILISTIC-GEOMETRIC METHODS.
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Bodhare, Hemant Gautam, and Asst Prof Gauri Ansurkar. "LEO based Satellite Navigation and Anti-Theft Tracking System for Automobiles." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 557–63. http://dx.doi.org/10.22214/ijraset.2022.41316.

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Abstract: GPS and Inertial Navigation Systems (INS) are used today in automobile navigation and tracking systems to locate themselves in Four Dimensions (latitude, longitude, altitude, time). However, GNSS or GPS still has its own bottleneck, such as the long initialization period of Precise Point Positioning (PPP) without dense reference network. For navigation, a number of selected LEO satellites can be equipped with a transmitter to transmit similar navigation signals to land users, so they can act like GNSS satellites but with much faster geometric change to enhance GNSS capability, which is named as LEO constellation enhanced GNSS (LeGNSS). This paper focuses on Low Earth Orbit navigation and anti-theft tracking system in automobiles that represents a framework which enables a navigating vehicle to aid its Inertial Navigation System when GNSS or GPS signal becomes unusable. Over the course of following years LEO satellite constellation will be available globally at ideal geometric locations. LEO Satellite aided Inertial navigation system with periodically transmitted satellite positions has the potential to achieve meter-level-accurate location. Keywords: LEO constellation, LEO enhanced GNSS (LeGNSS), Precise Point Positioning (PPP), Inertial Navigation System (INS), Precise Orbit Determination (POD)
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Smith, S. G. "Developments in Inertial Navigation." Journal of Navigation 39, no. 3 (September 1986): 401–15. http://dx.doi.org/10.1017/s0373463300000874.

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Inertial navigation systems represent the ideal in automatic navigation. They operate entirely without external assistance, other than information as to their starting conditions, which makes them of great interest to both military and civil operators.
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Dissertations / Theses on the topic "Inertial navigation systems"

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Zhao, Yong 1980. "Discrete-time observers for inertial navigation systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17956.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
Includes bibliographical references (p. 65-66).
In this thesis, we derive an exact deterministic nonlinear observer to compute the continuous-time states of inertial navigation system based on partial discrete measurements, the so-called strapdown problem. Nonlinear contraction theory is used as the main analysis tool. The hierarchical structure of the system physics is sytematically exploited and the use of nonlinear measurements, such as distances to time-varying reference points, is discussed. Effects of bounded errors on model and measurements are quantified, and can be used for active measurement selection. Work on vehicle state computation is carried out by using a similar observer design method. Finally, the approach is used to compute the head orientation of a simulated planar hopping robot, where the information provided by the observer is used for head stabilization and obstacle jump.
by Yong Zhao.
S.M.
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Mohamadabadi, Kaveh. "Anisotropic Magnetoresistance Magnetometer for inertial navigation systems." Phd thesis, Ecole Polytechnique X, 2013. http://tel.archives-ouvertes.fr/tel-00946970.

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This work addresses the relevant errors of the anisotropic magnetoresistance sensor for inertial navigation systems. The manuscript provides resulting guidelines and solution for using the AMR sensors in a robust and appropriate way relative to the applications. New methods also are proposed to improve the performance and, reduce the power requirements and cost design of the magnetometer. The new compensation method is proposed by developing an optimization algorithm. The necessity of the sensor calibration is shown and the source of the errors and compensating model are investigated. Two novel methods of indoor calibration are proposed and examples of operating systems are presented.
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Ruiz, Mario. "Optimization of a strapdown inertial navigation system." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Hewitson, Steve Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Quality control for integrated GNSS and inertial navigation systems." Awarded by:University of New South Wales. Surveying and Spatial Information Systems, 2006. http://handle.unsw.edu.au/1959.4/25534.

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The availability of GPS signals is a major limitation for many existing and potential applications. Fortunately, with the development of Galileo by the European Commission (EC) and European Space Agency (ESA) and new funding for the restoration of the Russian GLONASS announced by the Russian Federation the future for satellite based positioning and navigation applications is extremely promising. This research primarily investigates the benefits of GNSS interoperability and GNSS/INS integration to Receiver Autonomous Integrity Monitoring (RAIM) from a geometrical perspective. In addition to these investigations, issues regarding multiple outlier detection and identification are examined and integrity procedures addressing these issues are proposed. Moreover, it has been shown how the same RAIM algorithms can be effectively applied to the various static and kinematic navigation architectures used in this research.
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Wall, John H. "A study of the effects of stochastic inertial sensor errors in dead-reckoning navigation." Auburn, Ala., 2007. http://repo.lib.auburn.edu/07M%20Theses/WALL_JOHN_59.pdf.

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Skog, Isaac. "Low-Cost Navigation Systems : A Study of Four Problems." Doctoral thesis, KTH, Signalbehandling, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11736.

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Today the area of high-cost and high-performance navigation for vehicles is a well-developed field. The challenge now is to develop high-performance navigation systems using low-cost sensortechnology. This development involves problems spanning from signal processing of the dirty measurements produced by low-costsensors via fusion and synchronization of information produced by a large set of diverse sensors, to reducing the size and energyconsumption of the systems. This thesis examines and proposessolutions to four of these problems. The first problem examined is the time synchronizing of the sensordata in a global positioning system aided inertial navigationsystem in which no hardware clock synchronization is possible. A poor time synchronization results in an increased mean squareerror of the navigation solution and expressions for calculating this mean square error are presented. A method to solve the timesynchronization issue in the data integration software is proposed. The potential of the method is illustrated with tests onreal-world data that are subjected to timing errors. The second problem examined is the achievable clocksynchronization accuracy in a sensor network employing a two-waymessage exchange model. The Cramer-Rao bound for the estimation of the clock parameters is derived and transformed in to a lower bound on the mean square error of the clock offset.Further, an approximate maximum likelihood estimator for the clockparameters is proposed. The estimator is shown to be of low complexity and to have a mean square error in the vicinity of the Cramer-Rao bound. The third problem examined is the detection of the time epochswhen zero-velocity updates can be applied in a foot-mountedpedestrian navigation system. Four general likelihood ratio testsfor detecting when the navigation system is stationary based onthe inertial measurement data are studied. The performance of thefour detectors is evaluated using levelled ground, forward-gaitdata. The results show that the signals from the gyroscopes holdthe most reliable information for the zero-velocity detection. The fourth problem examined is the calibration of a low-costinertial measurement unit. A calibration procedure that relaxesthe accuracy requirements of the orientation angles the inertialmeasurement unit must be placed in during the calibration isstudied. The proposed calibration method is compared with theCramer-Rao bound for the case when the inertial measurementunit is rotated into precisely controlled orientations. Simulationresults show that the mean square error of the estimated sensormodel parameters reaches the Cramer-Rao bound within fewdecibels. Thus, the proposed method may be acceptable for a widerange of low-cost applications.
QC 20100810
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Walchko, Kevin J. "Low cost inertial navigation learning to integrate noise and find your way /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001193.

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Li, Wei. "On the study of mixed signal interface circuit for inertial navigation system." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691765.

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Soloviev, Andrey. "Investigation into performance enhancement of integrated global positioning/inertial navigation systems by frequency domain implementation of inertial computational procedures." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1178652218.

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Sukkarieh, Salah. "Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles." Thesis, The University of Sydney, 2000. http://hdl.handle.net/2123/18358.

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This thesis describes the theoretical and practical development of a low cost, high integrity, aided inertial navigation system for use in autonomous land vehicle applications. The demand for fail safe navigation systems which can be used on large autonomous land vehicles such as those found in container terminals, agriculture, construction and in mines, has driven research and technology into the development of high integrity navigation suites. Integrity, in this thesis, is defined as the ability of a navigation system to provide reliable navigation information while also monitoring the health of the data and either correcting any faults that may occur or rejecting faulty data. Thus integrity encapsulates reliability while the reverse is not necessarily true. This thesis provides, both in practical and theoretical terms, the fusion processes adopted and the implementation of fault detection techniques required for a high integrity aided inertial navigation system. There are three main contributions: Firstly, the development of an aided inertial navigation system using the Global Navigation Satellite System (GNSS) as an aiding source for use in autonomous land vehicles. This is accomplished by using a Kalman filter as the estimation algorithm along with the addition of fault detection techniques so as to increase the integrity of the system. The real time structure of the navigation architecture is provided along with results of its implementation in an autonomous 65 tonne straddle carrier. However, the algorithm development provides a generic structure thus allowing the use of the navigation suite on any land vehicle. Secondly is the use of vehicle modelling to bound drift errors associated with inertial navigation. This provides a sensor-free aiding source due to the inherent constrained motion of land vehicles. Vehicle constraints can thus be used as an extra aiding source with other sensors which in turn improves the accuracy and integrity of the overall navigation system. This is demonstrated with the real time implementation of an inertial navigation system being aided by three separate aiding sources; GNSS, vehicle modelling and speed data provided by an encoder. Finally, the understanding of the effect of inertial sensor redundancy to navigation accuracy and fault detection is addressed. A redundant inertial measurement unit is developed and tested and provides the necessary physical sensor for future fault detection work. This concludes this thesis by providing the foundation for the autonomous detection of faults in inertial units and furthermore the final level of integrity required for a navigation system.
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Books on the topic "Inertial navigation systems"

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Britting, Kenneth R. Inertial navigation systems analysis. Boston: Artech House, 2010.

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P, Andrews Angus, Bartone Chris, and ebrary Inc, eds. Global navigation satellite systems, inertial navigation, and integration. 3rd ed. Hoboken: John Wiley & Sons, 2013.

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Inertial navigation systems with geodetic applications. Berlin: Walter de Gruyter, 2001.

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Siouris, George M. Aerospace avionics systems: A modern synthesis. San Diego: Academic Press, 1993.

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Applied mathematics in integrated navigation systems. 2nd ed. Reston, VA: American Institute of Aeronautics and Astronautics, 2003.

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Applied mathematics in integrated navigation systems. 3rd ed. Reston, VA: American Institute of Aeronautics and Astronautics, 2007.

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Weill, Lawrence R. (Lawrence Randolph), 1938-, Andrews Angus P, and Wiley online library, eds. Global positioning systems, inertial navigation, and integration. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2007.

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1938-, Weill Lawrence Randolph, and Andrews Angus P, eds. Global positioning systems, inertial navigation, and integration. New York: John Wiley, 2001.

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MEMS-based integrated navigation. Boston: Artech House, 2010.

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Xuan zhuan tiao zhi xing jie lian guan xing dao hang xi tong: Rotary Modulation Strapdown Inertial Navigation System. Beijing: Ce hui chu ban she, 2014.

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Book chapters on the topic "Inertial navigation systems"

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Zanetti, Renato, and Christopher D’Souza. "Inertial Navigation." In Encyclopedia of Systems and Control, 1–7. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100036-1.

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Zanetti, Renato, and Christopher D’Souza. "Inertial Navigation." In Encyclopedia of Systems and Control, 993–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100036.

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Braasch, Michael S. "Inertial Navigation Systems." In Aerospace Navigation Systems, 1–25. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119163060.ch1.

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Jekeli, Christopher. "Inertial Navigation Systems: Geodesy." In Encyclopedia of Geodesy, 1–8. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-02370-0_10-1.

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Bruder, Stephen, and Aly El-Osery. "Low-Cost Inertial Navigation." In Studies in Systems, Decision and Control, 231–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14636-2_12.

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Lemmens, Mathias. "Global Navigation Satellite Systems and Inertial Navigation." In Geo-information, 55–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1667-4_4.

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Gupta, Suresh Chandra. "Inertial Sensors and Navigation Systems." In The Mind of an Engineer, 427–32. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0119-2_55.

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de Babo Martins, Francisco, Luis F. Teixeira, and Rui Nóbrega. "Visual-Inertial Based Autonomous Navigation." In Advances in Intelligent Systems and Computing, 561–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27149-1_43.

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Aksonenko, P. M., V. V. Avrutov, Yu F. Lazarev, P. Henaff, and L. Ciarletta. "Expanded Algorithm for Inertial Navigation." In Advances in Intelligent Systems and Computing, 789–800. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01177-2_58.

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Valdez-Rodríguez, Jorge Alejandro, Julio César Rodríguez-Quiñonez, Wendy Flores-Fuentes, Luis Roberto Ramírez-Hernández, Gabriel Trujillo-Hernández, Oscar Real-Moreno, Moisés J. Castro-Toscano, Jesús Elías Miranda-Vega, and Paolo Mercorelli. "Visual-Inertial Navigation Systems and Technologies." In Optoelectronic Devices in Robotic Systems, 137–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09791-1_6.

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Conference papers on the topic "Inertial navigation systems"

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Toda, Atsumi, and Yoshikazu Koike. "Simulation Design of Thermopile and Magnetometer Aided INS/GPS Navigation System for UAV Navigation." In 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2021. http://dx.doi.org/10.1109/inertial51137.2021.9430487.

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Bozeman, Eric, Minhdao Nguyen, Mohammad Alam, and Jeffrey Onners. "Inertial Navigation Compensation with Reinforcement Learning." In 2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2022. http://dx.doi.org/10.1109/inertial53425.2022.9787527.

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Stepanov, O. A., A. S. Nosov, and A. B. Toropov. "Navigation informativity of geophysical fields in map-aided navigation." In 2017 DGON Inertial Sensors and Systems (ISS). IEEE, 2017. http://dx.doi.org/10.1109/inertialsensors.2017.8171509.

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VANDERWERF, KEVIN, and KNUT WEFALD. "Fault tolerant inertial navigation system." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4024.

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Johnson, Burgess, Curt Albrecht, Todd Braman, Kevin Christ, Patrick Duffy, Daniel Endean, Markus Gnerlich, and John Reinke. "Development of a Navigation-Grade MEMS IMU." In 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2021. http://dx.doi.org/10.1109/inertial51137.2021.9430466.

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Askari, Sina, Chi-Shih Jao, Yusheng Wang, and Andrei M. Shkel. "A Laboratory Testbed for Self-Contained Navigation." In 2019 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2019. http://dx.doi.org/10.1109/isiss.2019.8739646.

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Endean, Daniel, Kevin Christ, Patrick Duffy, Eugene Freeman, Max Glenn, Markus Gnerlich, Burgess Johnson, and Jacob Weinmann. "Near-Navigation Grade Tuning Fork MEMS Gyroscope." In 2019 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2019. http://dx.doi.org/10.1109/isiss.2019.8739669.

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Sternberg, Harald, and Matthias Fessele. "Indoor navigation with Low-Cost Inertial Navigation Systems." In 2009 6th Workshop on Positioning, Navigation and Communication (WPNC). IEEE, 2009. http://dx.doi.org/10.1109/wpnc.2009.4907796.

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Zotov, Sergey, Arvind Srivastava, Ken Kwon, Jeremy Frank, Erwin Parco, Martin Williams, Semen Shtigluz, et al. "In-Run Navigation Grade Quartz MEMS-Based IMU." In 2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2020. http://dx.doi.org/10.1109/inertial48129.2020.9090018.

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Korkishko, Yuri N., Vyacheslav A. Fedorov, Viktor E. Prilutskiy, Vladimir G. Ponomarev, Stanislav V. Prilutskiy, Dmitriy V. Obuhovich, Igor V. Fedorov, et al. "Ultra-compact navigation-grade Inertial Measurement Unit IMU400." In 2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2020. http://dx.doi.org/10.1109/inertial48129.2020.9090072.

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Reports on the topic "Inertial navigation systems"

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Kaertner, Franz X. Narrow Linewidth Tunable Solid-State Microchip Lasers for Precision Inertial Navigation Systems (PINS). Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada442348.

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DeMars, Kyle J., Jacob E. Darling, Michael A. Waltemate, and Samuel J. Haberberger. Performance Evaluation Criteria and Analysis of Navigation Systems Using Inertial Measurement Unit Technology. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada605594.

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Ketterle, Wolfgang, Vladan Vuletic, and Mara Prentiss. Atom Interferometry on Atom Chips-A Novel Approach Towards Precision Inertial Navigation Systems (PINS). Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada499671.

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Landherr, Stefan F., and Mark H. Klein. Inertial Navigation System Simulator: Behavioral Specification. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada200604.

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Landherr, Stefan F., and Mark H. Klein. Inertial Navigation System Simulator: Behavioral Specification. Revision. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada219294.

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Meyers, B. C., and Nelson H. Weiderman. Functional Performance Specification for an Inertial Navigation System. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada204850.

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Fowler, Kenneth J. Inertial Navigation System Simulator Program: Top-Level Design. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada223762.

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Brown, Alison, and Yan Lu. Indoor Navigation Test Results using an Integrated GPS/TOA/Inertial Navigation System. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada458227.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Abstract:
Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Owen, T. E., M. A. Meindl, and J. R. Fellerhoff. High accuracy integrated global positioning system/inertial navigation system LDRD: Final report. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/465885.

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