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Sensors 2017, 17(8), 1890; https://doi.org/10.3390/s17081890

Detecting Traversable Area and Water Hazards for the Visually Impaired with a pRGB-D Sensor

College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
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Received: 9 July 2017 / Revised: 6 August 2017 / Accepted: 11 August 2017 / Published: 17 August 2017
(This article belongs to the Special Issue Imaging Depth Sensors—Sensors, Algorithms and Applications)
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Abstract

The use of RGB-Depth (RGB-D) sensors for assisting visually impaired people (VIP) has been widely reported as they offer portability, function-diversity and cost-effectiveness. However, polarization cues to assist traversability awareness without precautions against stepping into water areas are weak. In this paper, a polarized RGB-Depth (pRGB-D) framework is proposed to detect traversable area and water hazards simultaneously with polarization-color-depth-attitude information to enhance safety during navigation. The approach has been tested on a pRGB-D dataset, which is built for tuning parameters and evaluating the performance. Moreover, the approach has been integrated into a wearable prototype which generates a stereo sound feedback to guide visually impaired people (VIP) follow the prioritized direction to avoid obstacles and water hazards. Furthermore, a preliminary study with ten blindfolded participants suggests its effectivity and reliability. View Full-Text
Keywords: traversable area detection; water hazard detection; RGB-D sensor; polarized stereo; ZED; visually impaired people traversable area detection; water hazard detection; RGB-D sensor; polarized stereo; ZED; visually impaired people
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Yang, K.; Wang, K.; Cheng, R.; Hu, W.; Huang, X.; Bai, J. Detecting Traversable Area and Water Hazards for the Visually Impaired with a pRGB-D Sensor. Sensors 2017, 17, 1890.

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