Abstract
Progress in the development of infrared (IR) laser diodes, photodetector elements of matrices in the visible and IR ranges, lidar systems allows the use of optical location methods to detect and track moving objects in the atmosphere. This is primarily related to unmanned aerial vehicles (UAVs), which are widely used in many areas of human activity. This paper describes an experimental setup that makes it possible to detect a moving object in the atmosphere at a distance of more than 1 km, determine the distance to it, and automatically track it. The installation consists of a matrix photodetector of the visible and IR ranges, an active illumination source in the form of an IR laser diode emitting at a wavelength of λ = 808 nm with an output power of 30 W, and an IR lidar module with an energy per pulse of up to 15 mJ, emitting at a wavelength of λ = 1540 nm. It is shown that a combination of passive and active optical methods makes it possible to detect moving objects in the atmosphere, such as aerosol clouds or UAVs. For the automatic detection of moving objects of various types in the process of image processing in the visible and IR ranges, deep learning methods (convolutional neural networks) are used. With the help of the described installation, the linear dimensions of UAVs were estimated on routes of up to 1 km.
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REFERENCES
G. V. Golubkov, M. I. Manzhelii, A. A. Berlin, N. N. Bezuglov, A. N. Klyucharev, O. P. Borchevkina, S. O. Adamson, Yu. A. Dyakov, I. V. Karpov, I. I. Morozov, L. V. Eppelbaum, and M. G. Golubkov, Russ. J. Phys. Chem. B 15, 362 (2021).
E. Cromwell and D. Flynn, in Proceedings of the 2019 IEEE Winter Conference on Applied Computer Vision WACV (IEEE, Waikoloa, 2019), p. 619.
M. Pepe, L. Fregonese, and M. Scaioni, Eur. J. Rem. Sens. 51, 412 (2018).
M. Hammer, B. Borgmann, M. Hebel, et al., in Laser Radar Technology and Applications XXIV, Ed. by M. D. Turner and G. W. Kamerman, Proc. SPIE 11005, 110050E (2019).
O. P. Borchevkina, S. O. Adamson, Y. A. Dyakov, et al., Atmosphere 12, 1116 (2021).
O. P. Borchevkina, Y. A. Kurdyaeva, Y. A. Dyakov, et al., Atmosphere 12, 1384 (2021).
I. Nemer, T. Sheltami, I. Ahmad, et al., Sensors 21 (6) (1947).
E. D. Filin and R. V. Kirichek, Inf. Tekhn. Telekom. 6 (2), 87 (2018).
V. Stary, V. Krivanek, and A. Stefek, J. Commun. Netw. 20, 464 (2018).
D. A. Parker, D. E. Stern, and L. S. Pierce, US Patent No. 9715009 B1 (2017).
M. A. Alves, L. C. Folgueras, I. M. Martin, et al., in Proceedings of the 2017 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference IMOC (IEEE, Aguas de Lindoia, 2017), p. 1.
B. H. Kim and M. Y. Kim, in Proceedings of the 17th International Conference on Control, Automation and Systems ICCAS (IEEE, Jeju, 2017), p. 1692.
B. Kim, D. Khan, C. Bohak, et al., Sensors 18 (11), 3825 (2018).
T. Müller, in Proceedings of the Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, Ed. by T. Pham and M. A. Kolodny, Proc. SPIE 10190, 1019018 (2017).
A. Hornung, K. M. Wurm, M. Bennewitz, et al., Auton. Robot. 34, 189 (2013).
C. Wang, T. Wang, E. Wang, et al., Sensors 19, 2168 (2019).
K. Klasing, D. Wollherr, and M. Buss, in Proceedings of the 2008 IEEE International Conference on Robotics and Automation (IEEE, Pasadena, 2008), p. 4043.
S. Ren, K. He, R. Girshick, et al., IEEE Trans. Pat. Analys. Mach. Intel. 39, 1137 (2017).
J. Redmon and A. Farhadi, in Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition CVPR (IEEE, Honolulu, 2017), p. 6517.
W. Liu, D. Anguelov, D. Erhan, et al., in Proceedings of the Conference on Computer Vision ECCV, Ed. by B. Leibe, J. Matas, N. Sebe, and M. Welling, Lect. Notes Comput. Sci. 9905, 21 (2016).
X. Li, Y. Zhou, Z. Pan, et al., in Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR (IEEE, Long Beach, 2019), p. 9137.
R. Girshick, J. Donahue, T. Darrell, et al., in Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (IEEE, Columbus, 2014), p. 580.
G. Kokhanenko and M. Makogon, Fotonika 118 (4), 50 (2010).
M. Razeghi, W. Zhou, S. Slivken, et al., Appl. Opt. 56 (31), H30 (2017).
A. K. Goyal, D. Wood, V. Lee, et al., Opt. Eng. 59, 092003 (2020).
T. S. Robinson and W. C. Price, Proc. Phys. Soc., Sect. B 66, 969 (1953).
I. L. Fufurin, A. S. Tabalina, A. N. Morozov, et al., Opt. Eng. 59, 061621 (2020).
L. A. Skvortsov, Laser Methods for Remote Detection of Chemical Compounds on the Surface of Bodies (Tekhnosfera, Moscow, 2014) [in Russian].
S. Hugger, F. Fuchs, J. Jarvis, et al., in Proceedings of the Quantum Sens. Nano Electron. Photonics XIII, Ed. by M. Razeghi, Proc. SPIE 9755, 97550A (2016).
T. Rayner, M. Weida, M. Pushkarsky, et al., in Proceedings of the Conference on Optics and Photonics in Global Homeland Security III, Ed. by T. T. Saito, D. Lehrfeld, and M. J. DeWeert, Proc. SPIE 6540, 65401Q (2007).
Sh. Sh. Nabiev, G. Yu. Grigor’ev, A. S. Lagutin, L. A. Palkina, A. A. Vasil’ev, L. N. Mukhamedieva, A. A. Pakhomova, G. V. Golubkov, S. V. Malashevich, V. M. Semenov, D. B. Stavrovskii, and S. V. Ivanov, Russ. J. Phys. Chem. B 13, 685 (2019).
Sh. Sh. Nabiev, S. V. Ivanov, A. S. Lagutin, L. A. Pal-kina, S. V. Malashevich, O. A. Ol’khov, and M. G. Golubkov, Russ. J. Phys. Chem. B 13, 727 (2019).
I. B. Vintaykin, I. S. Golyak, P. A. Korolev, A. N. Morozov, S. E. Tabalin, and L. N. Timashova, Russ. J. Phys. Chem. B 15, 413 (2021).
I. L. Fufurin, P. E. Shlygin, A. A. Pozvonkov, I. B. Vintaikin, S. I. Svetlichnyi, D. A. Barkhatov, O. A. Nebritova, and A. N. Morozov, Russ. J. Phys. Chem. B 15, 911 (2021).
I. L. Fufurin, D. R. Anfimov, E. R. Kareva, et al., Opt. Eng. 60, 082016 (2021).
A. C. Padilla-Jiménez, W. Ortiz-Rivera, C. Rios-Velazquez, et al., Opt. Eng. 53, 061611 (2014).
I. S. Golyak, D. R. Anfimov, I. L. Fufurin, et al., in Proceedings of the SPIE Conference on Future Sensing Technologies, Ed. by C. R. Valenta, J. A. Shaw, and M. Kimata, Proc. SPIE 11525, 115250Y (2020).
P. Mahto, P. Garg, P. Seth, et al., Int. J. Adv. Res. Eng. Technol. 11, 409 (2020).
Y. Li, Y. Lu, and J. Chen, Autom. Constr. 124, 103602 (2021).
M. L. Pawelczyk and M. Wojtyra, IEEE Access. 8, 174394 (2020).
S. Cheng, K. Zhao, and D. Zhang, Symmetry 11, 1179 (2019).
Funding
This study was carried out in the framework of State Assignment of the Ministry of Science and Higher Education of the Russian Federation (registration number 122040500060–4), supported by a program of fundamental scientific research of the state academies of sciences for 2013–2020 (registration number AAAA-A18-118112290069-6) and grant no. 19-29-06009 mk of the Russian Foundation for Basic Research.
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Fufurin, I.L., Vintaikin, I.B., Nazolin, A.L. et al. Optical Methods for Detecting and Tracking Moving Objects in the Atmosphere. Russ. J. Phys. Chem. B 16, 483–491 (2022). https://doi.org/10.1134/S1990793122030034
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DOI: https://doi.org/10.1134/S1990793122030034