AUTONOMOUS OBJECT-TARGET NAVIGATION USING UAV CONTROL

Authors

  • Rustamova Malika Bahodirovna katta o’qituvchi Karshi branch of Tashkent University of Information Technologies
  • Bo‘riyev Sardor Norovich assistent, Karshi branch of Tashkent University of Information Technologies
  • Akhmadjon Tursunov student Karshi branch of Tashkent University of Information Technologies E-mail: akhmadjontursunov1@gmail.com

Keywords:

object-target navigation, UAV control, autonomous systems, and thorough literature review.

Abstract

Unmanned aerial vehicle (UAV) autonomous control has drawn a lot of attention from researchers over the past ten years. Drones are widely used in the public, private, and military sectors for a variety of tasks, including delivery, search and rescue, and surveillance, as well as for securing sensitive areas and resolving problems that call for movement. The use of UAVs for navigational tasks that require complete autonomy in terms of control, planning, localization, and mapping, however, is still an unresolved issue. Information on using autonomous UAVs for object-target navigation is provided in this article. With the exception of estimating the target's location, object-to-target navigation inherits the same navigational issues as steering and navigation. Understanding which object to look for and where to find it is necessary for the task of finding something. In this regard, research taxonomies on UAV navigation and target location tasks and methods are identified. The reliance on autonomous navigation tasks, as well as the shortcomings in UAV development and framework standardization, are significant issues that are brought to light by this review.

References

Liu Y, Dai HN, Wang Q, et al (2020) Unmanned aerial vehicle for internet of everything: Opportunities and challenges. Computer communications 155:66–83

Yasuda YD, Martins LEG, Cappabianco FA (2020) Autonomous visual navigation for mobile robots: A systematic literature review. ACM Computing Surveys (CSUR) 53(1):1–34

Dong, J.; Ren, X.; Han, S.; Luo, S. UAV Vision aided INS/odometer integration for Land Vehicle Autonomous Navigation. IEEE Trans. Veh. Technol. 2022, 71, 4825–4840.

de Plinval H, Morin P, Mouyon P (2017) Stabilization of a class of underactuated vehicles with uncertain position measurements and application to visual servoing. Automatica 77:155–169.

Helgesen HH, Leira FS, Bryne TH, et al (2019) Real-time georeferencing of thermal images using small fixed-wing uavs in maritime environments. ISPRS Journal of Photogrammetry and Remote Sensing 154:84–97.

Bershadsky D, Johnson E (2013) Indoor gps-denied context based slam aided guidance for autonomous unmanned aerial systems. AIAA Guidance, Navigation, and Control (GNC) Conference

Dang T, Papachristos C, Alexis K (2018) Autonomous exploration and simultaneous object search using aerial robots. IEEE Aerospace Conference Proceedings 2018-March:1–7

Alarcon EPH, Ghavifekr DB, Baris G, et al (2021) An efficient object-oriented exploration algorithm for unmanned aerial vehicles. 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 pp 330–337.

Bachrach A, Winter AD, He R, et al (2010) Range - robust autonomous navigation in gps-denied environments. Proceedings - IEEE International Conference on Robotics and Automation pp 1096–1097.

Li Y, Wang Y, Wang D (2018) Multiple rgb-d sensor-based 3-d reconstruction and localization of indoor environment for mini mav. Computers & Electrical Engineering 70:509–524.

Peake A, Mccalmon J, Zhang Y, et al (2020) Wilderness search and rescue missions using deep reinforcement learning. 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2020 pp 102–107

Dang T, Papachristos C, Alexis K (2018) Autonomous exploration and simultaneous object search using aerial robots. IEEE Aerospace Conference Proceedings 2018-March:1–7.

Wang J, Hinton J, Liu JC (2017) Rf based target search and localization with microuva. Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 pp 1077–1082.

Downloads

Published

2023-06-22