A real-time obstacle detection algorithm for the visually impaired using binocular camera

Rumin Zhang; Wenyi Wang; Liaoyuan Zeng; Jianwen Chen

doi:10.1007/978-981-10-6571-2_170

A real-time obstacle detection algorithm for the visually impaired using binocular camera

Rumin Zhang, Wenyi Wang, Liaoyuan Zeng, Jianwen Chen

Western Sydney University

Research output: Chapter in Book / Conference Paper › Chapter

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
Editors	Qilian Liang, Jiasong Mu, Min Jia, Wei Wang, Xuhong Feng, Baoju Zhang
Place of Publication	Singapore
Publisher	Springer
Pages	1412-1419
Number of pages	8
ISBN (Electronic)	9789811065712
ISBN (Print)	9789811065705
DOIs	https://doi.org/10.1007/978-981-10-6571-2_170
Publication status	Published - 2019

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10.1007/978-981-10-6571-2_170

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Zhang, R., Wang, W., Zeng, L., & Chen, J. (2019). A real-time obstacle detection algorithm for the visually impaired using binocular camera. In Q. Liang, J. Mu, M. Jia, W. Wang, X. Feng, & B. Zhang (Eds.), Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems (pp. 1412-1419). Springer. https://doi.org/10.1007/978-981-10-6571-2_170

Zhang, Rumin ; Wang, Wenyi ; Zeng, Liaoyuan et al. / A real-time obstacle detection algorithm for the visually impaired using binocular camera. Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. editor / Qilian Liang ; Jiasong Mu ; Min Jia ; Wei Wang ; Xuhong Feng ; Baoju Zhang. Singapore : Springer, 2019. pp. 1412-1419

@inbook{892bfe1bb8fd4ca7beb768e7bf9ac7d9,

title = "A real-time obstacle detection algorithm for the visually impaired using binocular camera",

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.",

author = "Rumin Zhang and Wenyi Wang and Liaoyuan Zeng and Jianwen Chen",

year = "2019",

doi = "10.1007/978-981-10-6571-2_170",

language = "English",

isbn = "9789811065705",

pages = "1412--1419",

editor = "Qilian Liang and Jiasong Mu and Min Jia and Wei Wang and Xuhong Feng and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",

publisher = "Springer",

}

Zhang, R, Wang, W, Zeng, L & Chen, J 2019, A real-time obstacle detection algorithm for the visually impaired using binocular camera. in Q Liang, J Mu, M Jia, W Wang, X Feng & B Zhang (eds), Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Springer, Singapore, pp. 1412-1419. https://doi.org/10.1007/978-981-10-6571-2_170

A real-time obstacle detection algorithm for the visually impaired using binocular camera. / Zhang, Rumin; Wang, Wenyi; Zeng, Liaoyuan et al.
Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. ed. / Qilian Liang; Jiasong Mu; Min Jia; Wei Wang; Xuhong Feng; Baoju Zhang. Singapore: Springer, 2019. p. 1412-1419.

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - A real-time obstacle detection algorithm for the visually impaired using binocular camera

AU - Zhang, Rumin

AU - Wang, Wenyi

AU - Zeng, Liaoyuan

AU - Chen, Jianwen

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - https://hdl.handle.net/1959.7/uws:67462

U2 - 10.1007/978-981-10-6571-2_170

DO - 10.1007/978-981-10-6571-2_170

M3 - Chapter

SN - 9789811065705

SP - 1412

EP - 1419

BT - Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems

A2 - Liang, Qilian

A2 - Mu, Jiasong

A2 - Jia, Min

A2 - Wang, Wei

A2 - Feng, Xuhong

A2 - Zhang, Baoju

PB - Springer

CY - Singapore

ER -

Zhang R, Wang W, Zeng L, Chen J. A real-time obstacle detection algorithm for the visually impaired using binocular camera. In Liang Q, Mu J, Jia M, Wang W, Feng X, Zhang B, editors, Communications, Signal Processing, and Systems: Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Singapore: Springer. 2019. p. 1412-1419 doi: 10.1007/978-981-10-6571-2_170

A real-time obstacle detection algorithm for the visually impaired using binocular camera

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