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An Indoor Obstacle Detection System Using Depth Information and Region Growth

An Indoor Obstacle Detection System Using Depth Information and Region Growth

Authors :
Hsieh-Chang Huang
Ching-Tang Hsieh
Cheng-Hsiang Yeh
Source :
Sensors, Vol 15, Iss 10, Pp 27116-27141 (2015)
Publication Year :
2015
Publisher :
MDPI AG, 2015.

Abstract

This study proposes an obstacle detection method that uses depth information to allow the visually impaired to avoid obstacles when they move in an unfamiliar environment. The system is composed of three parts: scene detection, obstacle detection and a vocal announcement. This study proposes a new method to remove the ground plane that overcomes the over-segmentation problem. This system addresses the over-segmentation problem by removing the edge and the initial seed position problem for the region growth method using the Connected Component Method (CCM). This system can detect static and dynamic obstacles. The system is simple, robust and efficient. The experimental results show that the proposed system is both robust and convenient.

Details

Language :
English
ISSN :
14248220
Volume :
15
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.1393eae5a5804edc98c5df4c4e444933
Document Type :
article
Full Text :
https://doi.org/10.3390/s151027116