Térképkészítés drón segítséggel
Efficient real-time drone mapping
Kulcsszavak:
Keywords: Drone Mapping; Python Programming; Computer Vision; Indoor Navigation; Visual SLAM., Drone Mapping, Python Programming, Computer Vision, Indoor Navigation, Visual SLAM, /, Térkép készítés drónnal, Python programozás, gépi látás, beltéri navigációAbsztrakt
This paper aims to develop an efficient real-time mapping workflow using a drone employing Visual Simultaneous Localization and Mapping (V-SLAM) technology, implemented using Python Programming. The control module is enhanced to guide the drone in exploring an unknown environment, enabling it to perform functionality similar to a LiDAR sensor but relying solely on its onboard camera to detect walls and features, and dynamically construct a map of the surrounding environment.
Kivonat
A cikk bemutat egy valós idejű térképezési munkafolyamatot, amely egy drón segítségével valósul meg. amely A módszer a vizuális egyidejű helymeghatározás és térképezés (V-SLAM) technológiáját alkalmazza. A megvalósítás Python programozás segítségével történik. A Python program egy Tello drónt segítségével képes az ismeretlen beltéri környezetek felfedezésére. A magvalósítás kizárólag a drón fedélzeti kamerájára támaszkodva érzékeli a falakat, akadályokat és térbeli jellemzőket.
Hivatkozások
Rostum, H. M., Vásárhelyi, J.: A review of using visual odometery methods in autonomous UAV Navigation in GPS-Denied Environment. Acta Univ. Sapientiae Electr. Mech. Eng, University Sapientia, 15, 2023, 14-32.
Ahmed, A.A., Olumide, A., Akinwa, A. and Chouikha, M., 2019, November. Constructing 3D maps for dynamic environments using autonomous uavs. In Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. ACM, 2019, pp. 504-513.
Alexovič, S., Lacko, M. and Bačík, J., 3D mapping with a drone equipped with a depth camera in indoor environment. Acta Electrotechnica et Informatica, ISSN 1335-8243, Vol. 23, No. 1, 2023, 18–24, DOI: 10.2478/aei-2023-0003..
Menna, F., Torresani, A., Battisti, R., Nocerino, E. and Remondino, F., A modular and low-cost portable VSLAM system for real-time 3D mapping: from indoor and outdoor spaces to underwater environments. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 2022.
Kern, A., Fanta-Jende, P., Glira, P., Bruckmüller, F. and Sulzbachner, C., An accurate real-time Uav mapping solution for the generation of Orthomosaics and surface models. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43. 2021.
Kern, A., Bobbe, M., Khedar, Y. and Bestmann, U., OpenREALM: Real-time mapping for unmanned aerial vehicles. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS) IEEE, ISBN: 978-1-7281-4278-4, 2020, pp. 902-911.
Krul, S.; Pantos, C.; Frangulea, M.; Valente, J. Visual SLAM for Indoor Livestock and Farming Using a Small Drone with a Monocular Camera: A Feasibility Study. Drones, MDPI 2021, 5, 41.
Steenbeek, A.; Nex, F. CNN-Based Dense Monocular Visual SLAM for Real-Time UAV Exploration in Emergency Conditions. Drones, MDPI, 2022, 6, 79.
Li, Z.; Zhao, J.; Zhou, X.; Wei, S.; Li, P.; Shuang, F. RTSDM: A Real-Time Semantic Dense Mapping System for UAVs. Machines, MDPI, 2022, 10, 285.
Li, X., Aouf, N. and Nemra, A., 3D mapping-based VSLAM for UAVs. In 2012 20th Mediterranean conference on control & automation (MED) IEEE, 2012, July pp. 348-352.
Xiao, R., Du, H., Xu, C. and Wang, W., August. An efficient real-time indoor autonomous navigation and path planning system for drones based on RGB-D sensor. In Chinese Intelligent Automation Conference. Singapore: Springer, Singapore 2019. pp. 32-44.
Rostum, H., & Vásárhelyi, J. . Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation. Electronics, MDPI, 2025 14(7), 1440.
Rostum, H.: Efficient Real-Time Drone Mapping with Visual SLAM and Python (Version 1.0) [Computer software]. GitHub. https://github.com/HussamRostum/Efficient-Real-Time-Drone-Mapping-with-Visual-SLAM-and-Python, 2025.
Rostum, H.: Efficient Real-Time Drone Mapping – Live Demo [Video]. YouTube. https://www.youtube.com/watch?v=KUIu4nehA8w, 2025, May 20.
