@article{MTMT:33050605,
	title = {A Path Planning Model for Stock Inventory Using a Drone},
	url = {https://m2.mtmt.hu/api/publication/33050605},
	author = {Radácsi, László and Gubán, Miklós and Szabó, László and Udvaros, József},
	doi = {10.3390/math10162899},
	journal-iso = {MATHEMATICS-BASEL},
	journal = {MATHEMATICS},
	volume = {10},
	unique-id = {33050605},
	abstract = {In this study, a model and solution are shown for controlling the inventory of a logistics warehouse in which neither satellite positioning nor IoT solutions can be used. Following a review of the literature on path planning, a model is put forward using a drone that can be moved in all directions and is suitable for imaging and transmission. The proposed model involves three steps. In the first step, a traversal path definition provides an optimal solution, which is pre-processing. This is in line with the structure and capabilities of the warehouse. In the second step, the pre-processed path determines the real-time movement of the drone during processing, including camera movements and image capture. The third step is post-processing, i.e., the processing of images for QR code identification, the interpretation of the QR code, and the examination of matches and discrepancies for inventory control. A key benefit for the users of this model is that the result can be achieved without any external orientation tools, relying solely on its own movement and the organization of a pre-planned route. The proposed model can be effective not only for inventory control, but also for exploring the structure of a warehouse shelving system and determining empty cells.},
	year = {2022},
	eissn = {2227-7390},
	pages = {2899},
	orcid-numbers = {Radácsi, László/0000-0002-2334-9761; Gubán, Miklós/0000-0001-7416-2406; Szabó, László/0000-0003-4153-8432}
}