학술논문

Cargo Position Measurement Using Epipolar Geometry for Logistics Automation / 物流の自動化のためのエピポーラ幾何を用いた貨物の位置計測
Document Type
Journal Article
Source
Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association. 2019, :B1-3
Subject
3D Reconstruction
Automation
Epipolar Geometry
Feature Extraction
Logstics
Language
Japanese
ISSN
1345-1510
2424-2586
Abstract
In recent years, the labor shortage has become a serious problem in logistics industries. In particular, among the five major functions of logistics, most of the storage and cargo handling operations are performed manually using forklifts. This problem can be solved by automating the process. In this paper, we propose a method to acquire the position of cargo from the images taken by two fixed cameras in a warehouse and the relative distance information between a transport vehicle and the cargo using the camera attached to the vehicle. The effectiveness of the proposed methods is shown by experiments.