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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