Relevant bibliographies by topics / Inertial navigation (Aeronautics) Aerial photography

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  2. Dissertations / Theses
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Academic literature on the topic 'Inertial navigation (Aeronautics) Aerial photography'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Inertial navigation (Aeronautics) Aerial photography"

1

Shults, R. "SIMULATION OF INERTIAL NAVIGATION SYSTEM ERRORS AT AERIAL PHOTOGRAPHY FROM UAV." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 345–51. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-345-2017.

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The problem of accuracy determination of the UAV position using INS at aerial photography can be resolved in two different ways: modelling of measurement errors or in-field calibration for INS. The paper presents the results of INS errors research by mathematical modelling. In paper were considered the following steps: developing of INS computer model; carrying out INS simulation; using reference data without errors, estimation of errors and their influence on maps creation accuracy by UAV data. It must be remembered that the values of orientation angles and the coordinates of the projection centre may change abruptly due to the influence of the atmosphere (different air density, wind, etc.). Therefore, the mathematical model of the INS was constructed taking into account the use of different models of wind gusts. For simulation were used typical characteristics of micro electromechanical (MEMS) INS and parameters of standard atmosphere. According to the simulation established domination of INS systematic errors that accumulate during the execution of photographing and require compensation mechanism, especially for orientation angles. MEMS INS have a high level of noise at the system input. Thanks to the developed model, we are able to investigate separately the impact of noise in the absence of systematic errors. According to the research was found that on the interval of observations in 5 seconds the impact of random and systematic component is almost the same. The developed model of INS errors studies was implemented in Matlab software environment and without problems can be improved and enhanced with new blocks.
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Шульц, Роман Володимирович, Петр Давидович Крельштейн, and Ірина Анатоліївна Маліна. "The research of inertial navigation system systematic errors at aerial photography from unmanned aerial vehicles." ScienceRise 9, no. 2(14) (September 25, 2015): 6. http://dx.doi.org/10.15587/2313-8416.2015.49183.

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3

Bezmenov, V. M., and K. I. Safin. "Researching the accuracy of determining spatial coordinates through processing images from drones." Geodesy and Cartography 967, no. 1 (February 20, 2021): 45–55. http://dx.doi.org/10.22389/0016-7126-2021-967-1-45-55.

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The authors present the results of numerical experiments aimed to determine the mean square error, which can be used to obtain the spatial coordinates of the object’s under study points through processing images obtained from UAVs using only on-Board global satellite and inertial navigation equipment on drones. At those experiments, aerial photography from the UAVs was modeled for mapping and solving the engineering task of creating a three-dimensional building (structure) model. A pair of images was simulated for the research. The results using the characteristics of the GNSS inertial solutions Trimble АРХ-15 UAV and Trimble АРХ-20 UAV are presented. The experiments show that at solving engineering tasks under conditions corresponding to an arbitrary case of aerial photography, in order to determinie the spatial coordinates with the mean square error not more than 15 mm, the same error of determining the linear elements of external orientation should be 2–5 mm, and the angular elements 10–20ʺ. This significantly exceeds the characteristics corresponding to the post-processing mode for the specified GNSS-inertial solutions. The authors show the effect of angular elements’ external orientation errors to resulting the mean square error of each coordinate and a possible approach to reducing it.
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Elsharkawy, Ahmed S., and Ayman F. Habib. "ERROR ANALYSIS FOR THE AIRBORNE DIRECT GEOREFERINCING TECHNIQUE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (October 12, 2016): 1213–19. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1213-2016.

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Direct Georeferencing was shown to be an important alternative to standard indirect image orientation using classical or GPS-supported aerial triangulation. Since direct Georeferencing without ground control relies on an extrapolation process only, particular focus has to be laid on the overall system calibration procedure. The accuracy performance of integrated GPS/inertial systems for direct Georeferencing in airborne photogrammetric environments has been tested extensively in the last years. In this approach, the limiting factor is a correct overall system calibration including the GPS/inertial component as well as the imaging sensor itself. Therefore remaining errors in the system calibration will significantly decrease the quality of object point determination. <br><br> This research paper presents an error analysis for the airborne direct Georeferencing technique, where integrated GPS/IMU positioning and navigation systems are used, in conjunction with aerial cameras for airborne mapping compared with GPS/INS supported AT through the implementation of certain amount of error on the EOP and Boresight parameters and study the effect of these errors on the final ground coordinates. <br><br> The data set is a block of images consists of 32 images distributed over six flight lines, the interior orientation parameters, IOP, are known through careful camera calibration procedure, also 37 ground control points are known through terrestrial surveying procedure. The exact location of camera station at time of exposure, exterior orientation parameters, EOP, is known through GPS/INS integration process. The preliminary results show that firstly, the DG and GPS-supported AT have similar accuracy and comparing with the conventional aerial photography method, the two technologies reduces the dependence on ground control (used only for quality control purposes). Secondly, In the DG Correcting overall system calibration including the GPS/inertial component as well as the imaging sensor itself is the limiting factor to achieve good object space.
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5

Thomas, R. M., K. Lehmann, H. Nguyen, D. L. Jackson, D. Wolfe, and V. Ramanathan. "Measurement of turbulent water vapor fluxes using a lightweight unmanned aerial vehicle system." Atmospheric Measurement Techniques 5, no. 1 (January 27, 2012): 243–57. http://dx.doi.org/10.5194/amt-5-243-2012.

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Abstract. We present here the first application of a lightweight unmanned aerial vehicle (UAV) system designed to measure turbulent properties and vertical latent heat fluxes (λE). Such measurements are crucial to improve our understanding of linkages between surface moisture supply and boundary layer clouds and phenomena such as atmospheric rivers. The application of UAVs allows for measurements on spatial scales complimentary to satellite, aircraft, and tower derived fluxes. Key system components are: a turbulent gust probe; a fast response water vapor sensor; an inertial navigation system (INS) coupled to global positioning system (GPS); and a 100 Hz data logging system. We present measurements made in the continental boundary layer at the National Aeronautics and Space Administration (NASA) Dryden Research Flight Facility located in the Mojave Desert. Two flights consisting of several horizontal straight flux run legs up to ten kilometers in length and between 330 and 930 m above ground level (m a.g.l.) are compared to measurement from a surface tower. Surface measured λE ranged from −53 W m−2 to 41 W m−2, and the application of a Butterworth High Pass Filter (HPF) to the datasets improved agreement to within +/−12 W m−2 for 86% of flux runs, by removing improperly sampled low frequency flux contributions. This result, along with power and co-spectral comparisons and consideration of the differing spatial scales indicates the system is able to resolve vertical fluxes for the measurement conditions encountered. Challenges remain, and the outcome of these measurements will be used to inform future sampling strategies and further system development.
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Thomas, R. M., K. Lehmann, H. Nguyen, D. L. Jackson, D. Wolfe, and V. Ramanathan. "Measurement of turbulent water vapor fluxes using a lightweight unmanned aerial vehicle system." Atmospheric Measurement Techniques Discussions 4, no. 4 (August 23, 2011): 5529–68. http://dx.doi.org/10.5194/amtd-4-5529-2011.

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Abstract. We present here the first application of a lightweight unmanned aerial vehicle (UAV) system designed to measure turbulent properties and vertical latent heat fluxes (λE). Such measurements are crucial to improve our understanding of linkages between surface moisture supply and boundary layer clouds and phenomena such as atmospheric rivers. The application of UAVs allows for measurements on spatial scales complimentary to satellite, aircraft, and tower derived fluxes. Key system components are: a turbulent gust probe; a fast response water vapor sensor; an inertial navigation system (INS) coupled to global positioning system (GPS); and a 100 Hz data logging system. We present measurements made in the continental boundary layer at the National Aeronautics and Space Administration (NASA) Dryden Research Flight Facility located in the Mojave Desert. Two flights consisting of several horizontal straight flux run legs up to ten kilometers in length and between 330 and 930 m above ground level (m a.g.l.) are compared to measurement from a surface tower. Surface measured λE ranged from −53 W m−2 to 41 W m−2, and the application of a Butterworth High Pass Filter (HPF) to the datasets improved agreement to within ± 12 W m−2 for 86 % of flux runs, by removing improperly sampled low frequency flux contributions. This result, along with power and co-spectral comparisons and consideration of the differing spatial scales indicates the system is able to resolve vertical fluxes for the measurement conditions encountered. Challenges remain, and the outcome of these measurements will be used to inform future sampling strategies and further system development.
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7

Chen, Cheng, Xiaogang Wang, Wutao Qin, and Naigang Cui. "Vision-based relative navigation using cubature Huber-based filtering." Aircraft Engineering and Aerospace Technology 90, no. 5 (July 2, 2018): 843–50. http://dx.doi.org/10.1108/aeat-01-2017-0006.

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Purpose A novel vision-based relative navigation system (VBRNS) plays an important role in aeronautics and astronautics fields, and the filter is the core of VBRNS. However, most of the existing filtering algorithms used in VBRNS are derived based on Gaussian assumption and disregard the non-Gaussianity of VBRNS. Therefore, a novel robust filtering named as cubature Huber-based filtering (CHF) is proposed and applied to VBRNS to improve the navigation accuracy in non-Gaussian noise case. Design/methodology/approach Under the Bayesian filter framework, the third-degree cubature rule is used to compute the cubature points which are propagated through state equation, and then the predicted mean and the associated covariance are taken. A combined minimum l1 and l2-norm estimation method referred as Huber’s criterion is used to design the measurement update. After that, the vision-based relative navigation model is presented and the CHF is used to integrate the line-of-sight measurements from vision camera with inertial measurement of the follower to estimate the precise relative position, velocity and attitude between two unmanned aerial vehicles. During the design of relative navigation filter, the quaternions are used to represent the attitude and the generalized Rodrigues parameters are used to represent the attitude error. The simulation is conducted to demonstrate the effectiveness of the algorithm. Findings By this means, the VBRNS could perform better than traditional VBRNS whose filter is designed by Gaussian filtering algorithms. And the simulation results demonstrate that the CHF could exhibit robustness when the system is non-Gaussian. Moreover, the CHF has more accurate estimation and faster rate of convergence than extended Kalman Filtering (EKF) in face of inaccurate initial conditions. Originality/value A novel robust nonlinear filtering algorithm named as CHF is proposed and applied to VBRNS based on cubature Kalman filtering (CKF) and Huber’s technique. The CHF could adapt to the non-Gaussian system effectively and perform better than traditional Gaussian filtering such as EKF.
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Dissertations / Theses on the topic "Inertial navigation (Aeronautics) Aerial photography"

1

Bredenkamp, Adolf Friedrich Ludwig. "Development and control of a 3-axis stabilised platform." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/380.

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Books on the topic "Inertial navigation (Aeronautics) Aerial photography"

1

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

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2

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

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BOREAS level-0 C-130 navigation data. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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