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Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Real-Time Obstacle Detection Algorithm for the Visually Impaired Using Binocular Camera

Authors : Rumin Zhang, Wenyi Wang, Liaoyuan Zeng, Jianwen Chen

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

In this paper, a real-time depth-data based obstacle detection to assist the visually impaired people in avoiding obstacles independently is presented. Depth data obtained by the binocular camera, is analyzed to detect obstacles. With the help of the proposed method, the distance between the binocular camera and the obstacle can be calculated with the speed of 30fps. Our method further allows the computation of the position and the size of the obstacle. The proposed algorithm has been extensively tested on both real images and public Laundry data-set. Experimental results demonstrate that the proposed method is not only able to detect the obstacles correctly but it is also fast, efficient and stable.

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Metadata
Title
A Real-Time Obstacle Detection Algorithm for the Visually Impaired Using Binocular Camera
Authors
Rumin Zhang
Wenyi Wang
Liaoyuan Zeng
Jianwen Chen
Copyright Year
2019
Publisher
Springer Singapore
Book
Communications, Signal Processing, and Systems

Print ISBN: 978-981-10-6570-5

Electronic ISBN: 978-981-10-6571-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-6571-2_170