Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/31667
Title: | Computational techniques for locating industrial products in warehouses | Authors: | Tsakiridis, Sotirios Papakonstantinou, Apostolos Kapandelis, Alexandros Mastorocostas, Paris A. Tsimpiris, Alkiviadis Varsamis, Dimitrios |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Point cloud;3D scanners;Warehouse modeling | Issue Date: | 2023 | Source: | Contemporary Engineering Sciences, 2023, vol. 16, no. 1, pp. 71-79 | Volume: | 16 | Issue: | 1 | Journal: | Contemporary Engineering Sciences | Abstract: | The computational estimation of an indoor or open-space warehouse inventory is based on the prior knowledge of the pallet dimensions. The input data consist of a three-dimensional point-cloud created by three- dimensional (3D) scanners (LiDAR technology) adapted to aerial ve- hicles (Drones). For research purposes, a storage simulator has been implemented in the Python language (version 3.9). In the rst phase, this research focuses on the ideal case of point-dispersion, with integer values for coordinates, in which a unit length corresponds to the distance between two neighboring pixels in the horizontal or vertical direction. In a subsequent stage, the generator of three-dimensional points will be modi ed to produce more realistic warehouse models. Improved ver- sions of existing algorithms will be proposed, taking into consideration the height variations. | URI: | https://hdl.handle.net/20.500.14279/31667 | ISSN: | 13147641 | DOI: | 10.12988/ces.2023.93121 | Rights: | Creative Commons by-nc-nd Attribution License | Type: | Article | Affiliation : | Cyprus University of Technology International Hellenic University University of West Attica |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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varsamisCES1-2023.pdf | 178.99 kB | Adobe PDF | View/Open |
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