Добірка наукової літератури з теми "Assisted GNSS"
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Статті в журналах з теми "Assisted GNSS"
Cheng, Li, Yonghong Dai, Wenfei Guo, and Jiansheng Zheng. "Structure and Performance Analysis of Signal Acquisition and Doppler Tracking in LEO Augmented GNSS Receiver." Sensors 21, no. 2 (January 13, 2021): 525. http://dx.doi.org/10.3390/s21020525.
Повний текст джерелаPartsinevelos, Panagiotis, Dimitrios Chatziparaschis, Dimitrios Trigkakis, and Achilleas Tripolitsiotis. "A Novel UAV-Assisted Positioning System for GNSS-Denied Environments." Remote Sensing 12, no. 7 (March 27, 2020): 1080. http://dx.doi.org/10.3390/rs12071080.
Повний текст джерелаHuang, Bin, Zheng Yao, Xiaowei Cui, and Mingquan Lu. "Angle-of-Arrival Assisted GNSS Collaborative Positioning." Sensors 16, no. 6 (June 20, 2016): 918. http://dx.doi.org/10.3390/s16060918.
Повний текст джерелаHochegger, G., and R. Leitinger. "Model assisted inversion of GNSS occultation data." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 26, no. 5 (January 2001): 325–30. http://dx.doi.org/10.1016/s1464-1917(01)00007-1.
Повний текст джерелаRoncella, R., G. Forlani, and F. Diotri. "A MONTE CARLO SIMULATION STUDY ON THE DOME EFFECT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 53–60. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-53-2021.
Повний текст джерелаLi, Binghao, Jiahuang Zhang, Andrew G. Dempster, and Chris Rizos. "Open Source GNSS Reference Server for Assisted-Global Navigation Satellite Systems." Journal of Navigation 64, no. 1 (November 26, 2010): 127–39. http://dx.doi.org/10.1017/s037346331000038x.
Повний текст джерелаShen, Wei, Zhisong Yang, Chaoyu Yang, and Xin Li. "A LiDAR SLAM-Assisted Fusion Positioning Method for USVs." Sensors 23, no. 3 (February 1, 2023): 1558. http://dx.doi.org/10.3390/s23031558.
Повний текст джерелаYe, Ping, Xing Qun Zhan, and Gang Du. "INS-Assisted GNSS Signal Tracking Modeling and Assessment." Advanced Materials Research 271-273 (July 2011): 603–8. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.603.
Повний текст джерелаChang, Qiang, Qun Li, Hong Tao Hou, and Xiang Hui Zeng. "Peer-to-Peer Cooperative Positioning between GNSS Receivers." Applied Mechanics and Materials 341-342 (July 2013): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.614.
Повний текст джерелаIoli, F., L. Pinto, and F. Ferrario. "LOW-COST DGPS ASSISTED AERIAL TRIANGULATION FOR SUB-DECIMETRIC ACCURACY WITH NON-RTK UAVS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 25–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-25-2021.
Повний текст джерелаДисертації з теми "Assisted GNSS"
Couronneau, Nicolas. "Performance analysis of assisted-GNSS receivers." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/254273.
Повний текст джерела(6114419), Tian Zhou. "ALTERNATIVE METHODOLOGIES FOR BORESIGHT CALIBRATION OF GNSS/INS-ASSISTED PUSH-BROOM HYPERSPECTRAL SCANNERS ON UAV PLATFORMS." Thesis, 2019.
Знайти повний текст джерелаLow-cost unmanned aerial vehicles (UAVs) utilizing push-broom hyperspectral scanners are poised to become a popular alternative to conventional remote sensing platforms such as manned aircraft and satellites. In order to employ this emerging technology in fields such as high-throughput phenotyping and precision agriculture, direct georeferencing of hyperspectral data using onboard integrated global navigation satellite systems (GNSS) and inertial navigation systems (INS) is required. Directly deriving the scanner position and orientation requires the spatial and rotational relationship between the coordinate systems of the GNSS/INS unit and hyperspectral scanner to be evaluated. The spatial offset (lever arm) between the scanner and GNSS/INS unit can be measured manually. However, the angular relationship (boresight angles) between the scanner and GNSS/INS coordinate systems, which is more critical for accurate generation of georeferenced products, is difficult to establish. This research presents three alternative calibration approaches to estimate the boresight angles relating hyperspectral push-broom scanner and GNSS/INS coordinate systems. For reliable/practical estimation of the boresight angles, the thesis starts with establishing the optimal/minimal flight and control/tie point configuration through a bias impact analysis starting from the point positioning equation. Then, an approximate calibration procedure utilizing tie points in overlapping scenes is presented after making some assumptions about the flight trajectory and topography of covered terrain. Next, two rigorous approaches are introduced – one using Ground Control Points (GCPs) and one using tie points. The approximate/rigorous approaches are based on enforcing the collinearity and coplanarity of the light rays connecting the perspective centers of the imaging scanner, object point, and the respective image points. To evaluate the accuracy of the proposed approaches, estimated boresight angles are used for ortho-rectification of six hyperspectral UAV datasets acquired over an agricultural field. Qualitative and quantitative evaluations of the results have shown significant improvement in the derived orthophotos to a level equivalent to the Ground Sampling Distance (GSD) of the used scanner (namely, 3-5 cm when flying at 60 m).
(9188615), Lisa Marie Laforest. "SPATIAL AND TEMPORAL SYSTEM CALIBRATION OF GNSS/INS-ASSISTED FRAME AND LINE CAMERAS ONBOARD UNMANNED AERIAL VEHICLES." Thesis, 2020.
Знайти повний текст джерелаUnmanned aerial vehicles (UAVs) equipped with imaging systems and integrated global navigation satellite system/inertial navigation system (GNSS/INS) are used for a variety of applications. Disaster relief, infrastructure monitoring, precision agriculture, and ecological forestry growth monitoring are among some of the applications that utilize UAV imaging systems. For most applications, accurate 3D spatial information from the UAV imaging system is required. Deriving reliable 3D coordinates is conditioned on accurate geometric calibration. Geometric calibration entails both spatial and temporal calibration. Spatial calibration consists of obtaining accurate internal characteristics of the imaging sensor as well as estimating the mounting parameters between the imaging and the GNSS/INS units. Temporal calibration ensures that there is little to no time delay between the image timestamps and corresponding GNSS/INS position and orientation timestamps. Manual and automated spatial calibration have been successfully accomplished on a variety of platforms and sensors including UAVs equipped with frame and push-broom line cameras. However, manual and automated temporal calibration has not been demonstrated on both frame and line camera systems without the use of ground control points (GCPs). This research focuses on manual and automated spatial and temporal system calibration for UAVs equipped with GNSS/INS frame and line camera systems. For frame cameras, the research introduces two approaches (direct and indirect) to correct for time delay between GNSS/INS recorded event markers and actual time of image exposures. To ensure the best estimates of system parameters without the use of ground control points, an optimal flight configuration for system calibration while estimating time delay is rigorously derived. For line camera systems, this research presents the direct approach to estimate system calibration parameters including time delay during the bundle block adjustment. The optimal flight configuration is also rigorously derived for line camera systems and the bias impact analysis is concluded. This shows that the indirect approach is not a feasible solution for push-broom line cameras onboard UAVs due to the limited ability of line cameras to decouple system parameters and is confirmed with experimental results. Lastly, this research demonstrates that for frame and line camera systems, the direct approach can be fully-automated by incorporating structure from motion (SfM) based tie point features. Methods for feature detection and matching for frame and line camera systems are presented. This research also presents the necessary changes in the bundle adjustment with self-calibration to successfully incorporate a large amount of automatically-derived tie points. For frame cameras, the results show that the direct and indirect approach is capable of estimating and correcting this time delay. When a time delay exists and the direct or indirect approach is applied, horizontal accuracy of 1–3 times the ground sampling distance (GSD) can be achieved without the use of any ground control points (GCPs). For line camera systems, the direct results show that when a time delay exists and spatial and temporal calibration is performed, vertical and horizontal accuracy are approximately that of the ground sample distance (GSD) of the sensor. Furthermore, when a large artificial time delay is introduced for line camera systems, the direct approach still achieves accuracy less than the GSD of the system and performs 2.5-8 times better in the horizontal components and up to 18 times better in the vertical component than when temporal calibration is not performed. Lastly, the results show that automated tie points can be successfully extracted for frame and line camera systems and that those tie point features can be incorporated into a fully-automated bundle adjustment with self-calibration including time delay estimation. The results show that this fully-automated calibration accurately estimates system parameters and demonstrates absolute accuracy similar to that of manually-measured tie/checkpoints without the use of GCPs.
Книги з теми "Assisted GNSS"
Frank Stephen Tromp Van Diggelen. A-GPS: Assisted GPS, GNSS, and SBAS. Boston: Artech House, 2009.
Знайти повний текст джерелаЧастини книг з теми "Assisted GNSS"
Iubatti, Matteo, Marco Villanti, Alessandro Vanelli-Coralli, Giovanni E. Corazza, and Stephane Corazza. "Ephemeris Interpolation Techniques for Assisted GNSS Services." In Satellite Communications and Navigation Systems, 185–97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47524-0_14.
Повний текст джерелаJanuszewski, Jacek. "Assisted-GNSS, Why, Where and for Whom?" In Communications in Computer and Information Science, 142–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16472-9_15.
Повний текст джерелаLiu, Changsheng, Xiukui Li, and Xiaoyan Liu. "Wi-Fi Assisted GNSS Positioning and Continuous Tracking." In Lecture Notes in Electrical Engineering, 701–11. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0029-5_59.
Повний текст джерелаHao, Xiaoming, Chunying Li, and Jinshan Liu. "INS-Assisted GNSS Loop Tracking Hardware Implementation Algorithm Design." In Lecture Notes in Electrical Engineering, 442–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7751-8_44.
Повний текст джерелаLi, Jianfeng, Hong Li, and Mingquan Lu. "Research on GNSS Anti-spoofing Method Assisted by Loran-C System." In China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III, 678–90. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3715-8_61.
Повний текст джерелаMou, Minghui, Yuan Hu, Mingxing Gu, Shengzheng Wang, and Wei Liu. "A Vector Tracking Structure of FLL-Assisted PLL for GNSS Receiver." In Lecture Notes in Electrical Engineering, 252–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3146-7_24.
Повний текст джерелаCrespi, M., A. Mazzoni, and C. Brunini. "Assisted Code Point Positioning at Sub-meter Accuracy Level with Ionospheric Corrections Estimated in a Local GNSS Permanent Network." In Geodesy for Planet Earth, 761–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20338-1_95.
Повний текст джерела"GNSS-assisted acquisition technique for LTE over satellite." In Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019), 715–23. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbte095e_ch56.
Повний текст джерелаТези доповідей конференцій з теми "Assisted GNSS"
Kulkarni, Ankita Abhay, E. Kiran Mahesh, and B. Karthikeyan. "Development of Assisted-GNSS Software to Enhance GNSS Capabilities." In 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE, 2018. http://dx.doi.org/10.1109/i2ct.2018.8529438.
Повний текст джерелаTerris-Gallego, Rafael, Ignacio Fernandez-Hernandez, Jose A. Lopez-Salcedo, and Gonzalo Seco-Granados. "Guidelines for Galileo Assisted Commercial Authentication Service Implementation." In 2022 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2022. http://dx.doi.org/10.1109/icl-gnss54081.2022.9797027.
Повний текст джерелаdel Peral-Rosado, Jose A., Jose A. Lopez-Salcedo, Sunwoo Kim, and Gonzalo Seco-Granados. "Feasibility study of 5G-based localization for assisted driving." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533837.
Повний текст джерелаPalmerini, Giovanni B. "Assisted GNSS Navigation in Lunar Missions." In AIAA SPACE 2014 Conference and Exposition. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-4256.
Повний текст джерелаCimdins, Marco, Sven Ole Schmidt, and Horst Hellbruck. "MAMPI – Multipath-assisted Device-free Localization with Magnitude and Phase Information." In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2020. http://dx.doi.org/10.1109/icl-gnss49876.2020.9115529.
Повний текст джерелаLeitinger, Erik, Florian Meyer, Paul Meissner, Klaus Witrisal, and Franz Hlawatsch. "Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533839.
Повний текст джерелаGhinamo, Giorgio, Gianluca Boiero, Piero Lovisolo, Andrea Dalla Torre, and Edoardo Detoma. "Hybrid fault detection technique in assisted GNSS." In 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507262.
Повний текст джерелаWang, Boyi, Lyndsay Ruane, Ryan Blay, and Dennis M. Akos. "Assisted GNSS: An Open Source SDR-Based Approach." In 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Institute of Navigation, 2019. http://dx.doi.org/10.33012/2019.17015.
Повний текст джерелаDeng, Zhongliang, Dejun Zou, Jianming Huang, Xu Chen, and Yan pei Yu. "The Assisted GNSS Boomed Up Location Based Services." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5303191.
Повний текст джерелаGuanghua Zhang, Weixiao Meng, Jingqiu Ren, and Yuwei Shi. "Range distance compensation algorithm for assisted GNSS positioning." In 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011. http://dx.doi.org/10.1109/chinacom.2011.6158185.
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