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Erschienen in:
Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure

verfasst von : Oleksandr Sotnikov, Vladimir G. Kartashov, Oleksandr Tymochko, Oleg Sergiyenko, Vera Tyrsa, Paolo Mercorelli, Wendy Flores-Fuentes

Erschienen in: Machine Vision and Navigation

Verlag: Springer International Publishing

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Abstract

The analysis of the known methods and navigation systems of flying robots (FR) was performed. Among them, because of a number of shown below reasons, the most preferable are passive combined correlation-extreme systems which implement the survey-comparative method. A basic model for the radiometric channel operation of the correlation-extreme navigation systems is proposed. The factors that lead to distortions of the decisive function formed by the combined correlation-extreme navigation system of flying robots in a developed infrastructure are allocated. A solution of the problem of autonomous low-flying flying robot navigation in a developed infrastructure using the radiometric channel extreme correlation navigation systems (CENS), when the size of the solid angle of associated object is much larger than the size of the partial antenna directivity diagram (ADD), is proposed. The appearance possibility of spurious objects that are close in parameters (geometric dimensions and brightness) to the anchor object, depending on the current image sight geometry formed by the optoelectronic channel of the combined CENS, is taken into account.

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Vorheriges Kapitel Autonomous Mobile Vehicle System Overview for Wheeled Ground Applications
Nächstes Kapitel Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling
Literatur
1.
Leutenegger, S., et al. (2016). Flying robots. In B. Siciliano & O. Khatib (Eds.), Springer handbook of robotics. Springer handbooks (pp. 623–670). Cham: Springer.CrossRef
2.
Basset, P. M., Tremolet, A., & Lefebvre, T. (2014). Rotary wing UAV pre-sizing: Past and present methodological approaches at onera. AerospaceLab, 1–12.
3.
Taha, H., Kiani, M., & Navarro, J. (2018). Experimental demonstration of the vibrational stabilization phenomenon in bio-inspired flying robots. IEEE Robotics and Automation Letters, 3(2), 643–647.CrossRef
4.
Beard, R. W., Ferrin, J., & Humpherys, J. (2014). Fixed wing UAV path following in wind with input constraints. IEEE Transactions on Control Systems Technology, 22(6), 2103–2117.CrossRef
5.
Lindner, L., Sergiyenko, O., RodrÐguez-Quiñonez, J., Rivas-López, M., Hernández-Balbuena, D., Flores-Fuentes, W., Murrieta-Rico, F. N., & Tyrsa, V. (2016). Mobile robot vision system using continuous laser scanning for industrial application. Industrial Robot, 43(4), 360–369.CrossRef
6.
Lindner, L., Sergiyenko, O., Rivas-Lopez, M., Hernandez-Balbuena, D., Flores-Fuentes, W., RodrÐguez-Quiñonez, J., Murrieta-Rico, F., Ivanov, M., Tyrsa, V., & Basaca, L. (2017). Exact laser beam positioning for measurement of vegetation vitality. Industrial Robot: An International Journal, 44(4), 532–541.CrossRef
7.
Scaramuzza, D., et al. (2014). Vision-controlled micro flying robots: From system design to autonomous navigation and mapping in GPS-denied environments. IEEE Robotics & Automation Magazine, 21(3), 26–40.CrossRef
8.
Dunbabin, M., & Marques, L. (2012). Robots for environmental monitoring: Significant advancements and applications. IEEE Robotics & Automation Magazine, 19(1), 24–39.CrossRef
9.
Song, G., Yin, K., Zhou, Y., & Cheng, X. (2009). A surveillance robot with hopping capabilities for home security. IEEE Transactions on Consumer Electronics, 55(4), 2034–2039.CrossRef
10.
Finn, R. L., & Wright, D. (2012). Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications. Computer Law & Security Review, 28(2), 184–194.CrossRef
11.
Hornung, A., Wurm, K. M., Bennewitz, M., Stachniss, C., & Burgard, W. (2013). OctoMap: An efficient probabilistic 3D mapping framework based on octrees. Autonomous Robots, 34(3), 189–206.CrossRef
12.
Nex, F., & Remondino, F. (2014). UAV for 3D mapping applications: A review. Applied Geomatics, 6(1), 1–15.CrossRef
13.
Faessler, M., Fontana, F., Forster, C., Mueggler, E., Pizzoli, M., & Scaramuzza, D. (2016). Autonomous, vision-based flight and live dense 3D mapping with a quadrotor micro aerial vehicle. Journal of Field Robotics, 33(4), 431–450.CrossRef
14.
Sotnikov, A. M., & Tarshin, V. A. (2013). Problemy i perspektivy razvitiya navigatsionnoy podderzhki vozdushnykh sudov. Zbirnyk naukovykh prats’ Kharkivs’koho universytetu Povitryanykh Syl, 3(36), 57–63. [In Russian].
15.
Sotnikov, O. M., Tarshin, V. A., & Otkryto, P. V. (2013). Problemy i pryamoye razvitiye yadro-spetsificheskikh ekstremal’nykh sistem, nalozhennykh kerovanami apparatury. Sovremennyye informatsionnyye tekhnologii v sfere oborony bez oborony, 3(18), 93–96. [In Russian].
16.
Keller, J., Thakur, D., Likhachev, M., Gallier, J., & Kumar, V. (2017). Coordinated path planning for fixed-wing UAS conducting persistent surveillance missions. IEEE Transactions on Automation Science and Engineering, 14(1), 17–24.CrossRef
17.
Li, H., & Savkin, A. V. (2018). Wireless sensor network based navigation of micro flying robots in the industrial internet of things. IEEE Transactions on Industrial Informatics, 14(8), 3524–3533.CrossRef
18.
Somov, Y., Butyrin, S., Somov, S., & Somova, T. (2017). In-flight calibration, alignment and verification of an astroinertial attitude determination system for free-flying robots and land-survey satellites. In 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace), Padua, pp. 474–478.
19.
Sotnikov, A. M., Antyufeyev, V. I., Bykov, V. N., Grichanyuk, A. M. et al. (2014). Matrichnyye radiometricheskiye korrelyatsionno-ekstremal’nyye sistemy navigatsii letatel’nykh apparatov. Book: Ministerstvo obrazovaniya i nauki Ukrainy. KHNU imeni V.N. Karazina. 372p. [In Russian].
20.
Sotnikov, A., Tarshyn, V., Yeromina, N., Petrov, S., & Antonenko, N. (2017). A method for localizing a reference object in a current image with several bright objects. Eastern-European Journal of Enterprise Technologies, 3(87), 68–74.CrossRef
21.
Sotnikov, A. M., & Tarshin, V. A. (2012). Obosnovaniye printsipov postroyeniya i razvitiya modeli korrelyatsionno-ekstremal’noy sistemy navedeniya kombinirovannogo tipa. Sistema Upravleniya Navigatsiyey ta Zvozdku. K., 4(24), 7–11. [In Russian].
22.
Sotnikov, A. M., Tantsiura, A. B., & Lavrov, O. Y. (2018). Calculating method of error calculations of the object coordinating platform free inertial navigation systems of unmanned aerial vehicle. Advanced Information Systems, 2(1), 32–41.CrossRef
23.
SotnÐkov, O. M., Vorobey, O. M., & Tantsyura, O. B. (2018). ModelÐ potochnikh zobrazhen’, shcho formuyut’sya kanalami kombÐnovanoÐ̈ korelyatsÐyno-yekstremal’noÐ̈ sistemi navÐgatsÐÐ̈ bezpÐlotnogo lÐtal’nogo aparatu. SuchasnÐ ÍnformatsÐynÐ TekhnologÐÐ̈ u SferÐ Bezpeki ta Oboroni, 2(32), 29–38. [In Ukrainian].
24.
Tarshin, V. A., Sotnikov, A. M., Sidorenko, R. G., & Mezentsev, A. V. (2015). Metodologiya otsenki informativnosti iskhodnykh izobrazheniy dlya vysokotochnykh korrelyatsionno-ekstremal’nykh navigatsionnykh system. Sistemy obrabotki informatsii, 10, 60–63. [In Russian].
25.
Tarshin, V. A., Sotnikov, A. M., Sidorenko, R. G., & Megel’bey, V. V. (2015). Podgotovka etalonnykh izobrazheniy dlya vysokotochnykh korrelyatsionno-ekstremal’nykh sistem navigatsii na osnove formirovaniya polya fraktal’nykh razmernostey. Sistemi ozbroênnya Ð vÐys’kova tekhnÐka, 2, 142–144. [In Russian].
26.
Tarshin, V. A., Sotnikov, A. M., & Sidorenko, R. G. (2015). Podgotovka etalonnykh izobrazheniy dlya vysokotochnykh korrelyatsionno-ekstremal’nykh sistem navigatsii na osnove ispol’zovaniya pryamogo korrelyatsionnogo analiza. Nauka Ð tekhnÐka povÐtryanikh sil zbroynikh sil ukraÐ̈ni, 2, 69–73. [In Russian].
27.
Smelyakov, K. S., Ruban, I. V., Smelyakov, S. V., & Tymochko, О. І. (2005). Segmentation of small-sized irregular images. In Proceeding of IEEE East-West Design & Test Workshop (EWDTW’05), Odessa, pp. 235–241.
28.
Hernandez, W., & Mendez, A. (2018). Application of principal component analysis to image compression. In Statistics-Growing Data Sets and Growing Demand for Statistics. IntechOpen.
29.
Shen, Z., & Song, E. (2018). Dynamic filtering of sparse signals via L1 minimization with variant parameters. In 2018 37th Chinese Control Conference (CCC), Wuhan, pp. 4409–4414.
30.
Ham, B., Cho, M., & Ponce, J. (2018). Robust guided image filtering using nonconvex potentials. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(1), 192–207.CrossRef
31.
Tymochko, О. І., & Podorozhnyak, А. О. (2007). Lokalizatsiya ob’ektu poshuku na potochnomu zobrazhenni navigatsiynoy systemy z raiometrychnymy datchykamy. Zbirnyk naukovykh prats Kharkivskoho universytetu Povitryanykh Syl, 1(13), 47–50. [In Ukrainian].
32.
Sergiyenko, O., Hernandez, W., Tyrsa, V., Devia Cruz, L., Starostenko, O., & Pena-Cabrera, M. (2009). Remote sensor for spatial measurements by using optical scanning. Sensors, 9(7), 5477–5492.CrossRef
33.
Sergiyenko, O. Y. (2010). Optoelectronic system for mobile robot navigation. Optoelectronics, Instrumentation and Data Processing, 46(5), 414–428.CrossRef
34.
Garcia-Cruz, X. M., Sergiyenko, O. Y., Tyrsa, V., Rivas-Lopez, M., Hernandez-Balbuena, D., Rodriguez-Quiñonez, J. C., Basaca-Preciado, L. C., & Mercorelli, P. (2014). Optimization of 3D laser scanning speed by use of combined variable step. Optics and Lasers in Engineering, 54, 141–151.CrossRef
35.
Básaca-Preciado, L. C., Sergiyenko, O. Y., RodrÐguez-Quinonez, J. C., GarcÐa, X., Tyrsa, V., Rivas-Lopez, M., Hernandez-Balbuena, D., Mercorelli, P., Podrygalo, M., Gurko, A., Tabakova, I., & Starostenko, O. (2014). Optical 3D laser measurement system for navigation of autonomous mobile robot. Optics and Lasers in Engineering, 54, 159–169.CrossRef
36.
Cañas, N., Hernandez, W., González, G., & Sergiyenko, O. (2014). Controladores multivariables para un vehiculo autonomo terrestre: Comparación basada en la fiabilidad de software. RIAI-Revista Iberoamericana de Automática e Informática Industrial, 11(2), 179–190. [In Spanish].CrossRef
37.
Straβberger, D., Mercorelli, P., Sergiyenko, O., & Decoupled, A. (2015). MPC for motion control in robotino using a geometric approach. Journal of Physics: Conference Series, 659, 1–10.
38.
Sergiyenko, O. Y., Ivanov, M. V., Tyrsa, V. V., Kartashov, V. M., Rivas-López, M., Hernández-Balbuena, D., Flores-Fuentes, W., RodrÐguez-Quiñonez, J. C., Nieto- Hipólito, J. I., Hernandez, W., & Tchernykh, A. (2016). Data transferring model determination in robotic group. Robotics and Autonomous Systems, 83, 251–260.CrossRef
39.
RodrÐguez-Quiñonez, J. C., Sergiyenko, O., Flores-Fuentes, W., Rivas-lopez, M., Hernandez-Balbuena, D., Rascón, R., & Mercorelli, P. (2017). Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach. Opto-Electronics Review, 25(1), 24–32.CrossRef
40.
Sergiyenko, O., Tyrsa, V., Flores-Fuentes, W., Rodriguez-Quiñonez, J., & Mercorelli, P. (2018). Machine vision sensors. Journal of Sensors, 2018, 3202761.CrossRef
41.
Sergiyenko, O., Flores-Fuentes, W., & Tyrsa, V. (2017). Methods to improve resolution of 3D laser scanning (p. 132). LAP LAMBERT Academic Publishing.
42.
Sergiyenko, O., & Rodriguez-Quiñonez, J. C. (Eds.). (2016). Developing and applying optoelectronics in machine vision (p. 341). Hershey, PA: IGI Global.
43.
Ivanov, M., Lindner, L., Sergiyenko, O., RodrÐguez-Quiñonez, J. C., Flores-Fuentes, W., & Rivas-López, M. (2019). Mobile robot path planning using continuous laser scanning. In Optoelectronics in machine vision-based theories and applications (pp. 338–372). IGI Global. https://​doi.​org/​10.​4018/​978-1-5225-5751-7.​ch012.
44.
Sergiyenko, O. Y., Tyrsa, V. V., Devia, L. F., Hernandez, W., Starostenko, O., & Rivas Lopez, M. (2009). Dynamic laser scanning method for mobile robot navigation. In Proceedings of ICCAS-SICE 2009, ICROS-SICE International Joint Conference, Fukuoka, Japan, 18–21 August 2009, pp. 4884–4889.
45.
Rivas, M., Sergiyenko, O., Aguirre, M., Devia, L., Tyrsa, V., & Rendón, I. Spatial data acquisition by laser scanning for robot or SHM task. In IEEE-IES Proceedings “International Symposium on Industrial Electronics” (ISIE-2008), Cambridge, UK, 30 of June–2 of July, 2008, pp. 1458–1463.
46.
Básaca, L. C., RodrÐguez, J. C., Sergiyenko, O., Tyrsa, V. V., Hernández, W., Nieto Hipólito, J. I., & Starostenko, O. (2010). Resolution improvement of dynamic triangulation method for 3D vision system in robot navigation task. In Proceedings of IEEE-36th Annual Conference of IEEE Industrial Electronics (IECON-2010), Glendale-Phoenix, AZ, 7–10 November 2010, pp. 2880–2885.
47.
Rohmer, E., Singh, S. P., & Freese, M. (2013). V-rep: A versatile and scalable robot simulation framework. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. IEEE, pp. 1321–1326.
48.
Michel, O. (2004). Cyberbotics Ltd—WebotsTM: Professional mobile robot simulation. International Journal of Advanced Robotic Systems, 1(1), 5, pp. 39–42.CrossRef
49.
Furrer, F., Burri, M., Achtelik, M., & Siegwart, R. (2016). RotorS—A modular gazebo MAV simulator framework. Robot Operating System (ROS), 595–625.
Metadaten
Titel
Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure
verfasst von
Oleksandr Sotnikov
Vladimir G. Kartashov
Oleksandr Tymochko
Oleg Sergiyenko
Vera Tyrsa
Paolo Mercorelli
Wendy Flores-Fuentes
Copyright-Jahr
2020
Buch
Machine Vision and Navigation

Print ISBN: 978-3-030-22586-5

Electronic ISBN: 978-3-030-22587-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-22587-2_16

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