The article uses an algorithm for applying the probability algorithm for the occurrence of unmanned vehicles based on the use of a system for ROS robotic devices. As part of the study, the task was set to determine the exact position of an object (robotic vehicle), which, without special use of tools, was placed inaccurately in the GPS assembly. The task posed in the search was solved using ROS by creating a three-dimensional map of the area and refining the data using GPS using an algorithm.

Yuri A. Kryukov
Candidate of Technical Sciences, Associate Professor Vice-Rector for Research and Innovation at Dubna University
19 Universitetskaya str., Dubna, Moscow region, 141982, Russia
е-mail: kua@uni-dubna.ru

Lev N. Teryaev
PhD student, Director of the Center for Open Educational Technologies at Dubna University
19 Universitetskaya str., Dubna, Moscow region, 141982, Russia
E-mail: ttrchik228@gmail.com

Stanislav A. Bobikov
Master’s Degree, specialist in educational and methodological work of the Central Educational Institution at Dubna University
19 Universitetskaya str., Dubna, Moscow region, 141982, Russia
e-mail: stack@uni-dubna.ru

1. Gurylev V. Intel RealSense Tracking Camera T265: sovsem drugoj RealSense [Intel RealSense Tracking Camera T265: a completely different RealSense]. In: Habr. 21.02.2019. Available at: https://habr.com/ru/company/intel/blog/440826/ (accessed 01.08.2021).
2. Titov A. ROS. Stek navigacii [ROS. Navigation stack]. In: Habr. 03.05.2017. Available at: https://habr.com/ru/post/327888 / (accessed 01.08.2021).
3. Intel® RealSense™ Depth Camera D435i. 2018. Available at: https://ark.intel.com/content/www/us/en/ark/products/190004/intel-realsense-depth-camera-d435i.html (accessed 01.08.2021).
4. ROS navigation stack. Package Summary. In: ROS wiki. 14.09.2020. Available at: http://wiki.ros.org/navigation (accessed: 01.08.2021).
5. ROS tutorials. In: ROS wiki. 03.06.2021. Available at: http://wiki.ros.org/ROS/Tutorials, free (accessed 01.08.2021).