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ナビゲーションarXiv:2212.12185

単眼カメラとVisual SLAM・YOLOを用いた視覚障害者向け屋内外ナビゲーションシステム

Implementation of a Blind navigation method in outdoors/indoors areas

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単眼カメラでVisual SLAMとYOLOを組み合わせ、視覚障害者を予め設定した経路に沿って誘導しつつ障害物を検知・警告するナビゲーション手法を提案した。

著者: Mohammad Javadian Farzaneh, Hossein Mahvash Mohammadi

分類: cs.CV, cs.RO

原文アブストラクト

According to WHO statistics, the number of visually impaired people is increasing annually. One of the most critical necessities for visually impaired people is the ability to navigate safely. This paper proposes a navigation system based on the visual slam and Yolo algorithm using monocular cameras. The proposed system consists of three steps: obstacle distance estimation, path deviation detection, and next-step prediction. Using the ORB-SLAM algorithm, the proposed method creates a map from a predefined route and guides the users to stay on the route while notifying them if they deviate from it. Additionally, the system utilizes the YOLO algorithm to detect obstacles along the route and alert the user. The experimental results, obtained by using a laptop camera, show that the proposed system can run in 30 frame per second while guiding the user within predefined routes of 11 meters in indoors and outdoors. The accuracy of the positioning system is 8cm, and the system notifies the users if they deviate from the predefined route by more than 60 cm.

関連論文

PR本紙発行元 EmplifAI