Keywords
How to Cite
Abstract
This paper examines the problem of three-dimensional mapping of space.. Creating 3D maps is an extremely urgent task. This is often done through mapping using a UAV. However, in order to create a technical map, it is necessary to select suitable sensors. This article provides an overview of sensors that can be used to create such maps. A pair of cameras has been selected, as well as a means of communication between them.
References
Mohsan, S. A. H., & et al. (2022). Towards the unmanned aerial vehicles (UAVs): A comprehensive review. Drones, 6(6), 147.
Ahmed, F., & et al. (2022). Recent advances in unmanned aerial vehicles: a review. Arabian Journal for Science and Engineering, 47(7), 7963-7984.
Yao, H., & et al. (2019). Unmanned aerial vehicle for remote sensing applications—A review. Remote Sensing, 11(12), 1443.
Rabotiahov, A., Kobylin, O., Dudar, Z., & Lyashenko, V. (2018, February). Bionic image segmentation of cytology samples method. In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) (pp. 665-670). IEEE.
Lyashenko, V. V., Lyubchenko, V. A., Ahmad, M. A., Khan, A., & Kobylin, O. A. (2016). The Methodology of Image Processing in the Study of the Properties of Fiber as a Reinforcing Agent in Polymer Compositions. International Journal of Advanced Research in Computer Science, 7(1), 15-18.
Гиренко, А. В., Ляшенко, В. В., Машталир, В. П., & Путятин, Е. П. (1996). Методы корреляционного обнаружения объектов. Харьков: АО “БизнесИнформ, 112.
Al-Sherrawi, M. H., Lyashenko, V., Edaan, E. M., & Sotnik, S. (2018). Corrosion as a source of destruction in construction. International Journal of Civil Engineering and Technology, 9(5), 306-314.
Lyashenko, V., Ahmad, M. A., Sotnik, S., Deineko, Z., & Khan, A. (2018). Defects of communication pipes from plastic in modern civil engineering. International Journal of Mechanical and Production Engineering Research and Development, 8(1), 253-262.
Baker, J. H., Laariedh, F., Ahmad, M. A., Lyashenko, V., Sotnik, S., & Mustafa, S. K. (2021). Some interesting features of semantic model in Robotic Science. SSRG International Journal of Engineering Trends and Technology, 69(7), 38-44.
Abu-Jassar, A. T., Al-Sharo, Y. M., Lyashenko, V., & Sotnik, S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654.
Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.
Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.
Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.
Olson, D., & Anderson, J. (2021). Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture. Agronomy Journal, 113(2), 971-992.
Guimarães, N., & et al. (2020). Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities. Remote Sensing, 12(6), 1046.
Feng, L., & et al. (2021). A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping. Computers and electronics in agriculture, 182, 106033.
Palieri, M., & et al. (2020). Locus: A multi-sensor lidar-centric solution for high-precision odometry and 3d mapping in real-time. IEEE Robotics and Automation Letters, 6(2), 421-428.
Ilci, V., & Toth, C. (2020). High definition 3D map creation using GNSS/IMU/LiDAR sensor integration to support autonomous vehicle navigation. Sensors, 20(3), 899.
Jeong, J., & et al. (2019). Complex urban dataset with multi-level sensors from highly diverse urban environments. The International Journal of Robotics Research, 38(6), 642-657.
Yoo, J. H., & et al. (2020). 3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVII 16, Springer International Publishing, 720-736.
Chang, M. F., & et al. (2019). Argoverse: 3d tracking and forecasting with rich maps. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 8748-8757.
Harley, A. W., & et al. (2023). Simple-BEV: What really matters for multi-sensor bev perception?. In 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2759-2765.
Debeunne, C., & Vivet, D. (2020). A review of visual-LiDAR fusion based simultaneous localization and mapping. Sensors, 20(7), 2068.
Zhong, X., & et al. (2023). Shine-mapping: Large-scale 3d mapping using sparse hierarchical implicit neural representations. In 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 8371-8377.
Ye, H., & et al. (2019). Tightly coupled 3d lidar inertial odometry and mapping. In 2019 International Conference on Robotics and Automation (ICRA), IEEE, 3144-3150.
Lyashenko, V., & et al. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.
I. Nevliudov, & et al. (2022). Object Recognition for a Humanoid Robot Based on a Microcontroller. In IEEE XVIII International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), IEEE, 61-64.
Yevsieiev, V., & et al. (2022). Software Implementation Concept Development for the Mobile Robot Control System on ESP-32CAM In Current issues of science, prospects and challenges: collection of scientific papers «SCIENTIA» II International Scientific and Theoretical Conference, 2, Sydney, Australia: European Scientific Platform, 54-56.
Maksymova, S., & Akopov, M. (2023). Selection of Sensors for Building a 3D Model of the Mobile Robot's Environment. In VII International Conference Manufacturing & Mechatronic Systems (M&MS), 33-35.
Nikitin, V., & et al. (2023). Traffic Signs Recognition System Development. Multidisciplinary Journal of Science and Technology, 3(3), 235-242.
Lyashenko, V., & Sotnik, S. (2020). Analysis of Basic Principles for Sensor System Design Process Mobile Robots. Journal La Multiapp, 1(4), 1-6.
Mustafa, S. K., Kopot, M., Ahmad, M. A., Lyubchenko, V., & Lyashenko, V. (2020). Interesting applications of mobile robotic motion by using control algorithms. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3847-3852.
Abu-Jassar, A. T., Attar, H., Lyashenko, V., Amer, A., Sotnik, S., & Solyman, A. (2023). Access control to robotic systems based on biometric: the generalized model and its practical implementation. International Journal of Intelligent Engineering and Systems, 16(5), 313-328.
Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.
This work is licensed under a Creative Commons Attribution 4.0 International License.