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

机译:使用pRGB-D传感器检测视觉障碍者的可穿越区域和水灾

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摘要

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.
机译:广泛报道了使用RGB深度(RGB-D)传感器来辅助视觉障碍者(VIP),因为它们具有便携性,功能多样性和成本效益。但是,在不采取预防措施防止进入水域的情况下,极化提示有助于提高可穿越性。本文提出了一种极化的RGB深度(pRGB-D)框架,以同时检测极化区域,深度和深度信息来检测可穿越的区域和水域危险,以增强导航期间的安全性。该方法已经在pRGB-D数据集上进行了测试,该数据集用于调整参数和评估性能。此外,该方法已集成到可穿戴原型中,该原型生成立体声反馈,以引导视障人士(VIP)遵循优先方向,以避免障碍物和水灾。此外,有十个蒙着眼睛的参与者的初步研究表明其有效性和可靠性。

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