AR Marker Aided Obstacle Localization System for Assisting Visually Impaired

Xinrui Yu, Guojun Yang, Scott Jones, J. Saniie
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引用次数: 9

Abstract

As of in 2017, approximately 3.3% of the people in the world (253 million) are visually impaired. These people face mobility difficulties which impact their quality of life. We propose a system that will assist the visually impaired with their indoor environment mobility. It uses the information from preregistered AR (Augmented Reality) markers to identify specific accessible facilities, such as hallways, restrooms, staircases, and offices. An RGB-D sensor (a sensor that provides color and depth information of every pixel) captures the scene which includes the AR markers. This scene-based information is processed by a neural network to recognize and localize obstacles and accessible facilities. We present the processing algorithm for image and depth profiling. System performance in terms of obstacle localization and recognition was evaluated inside building.
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辅助视障人士的AR标记辅助障碍物定位系统
截至2017年,世界上约3.3%的人(2.53亿人)视力受损。这些人行动不便,影响了他们的生活质量。我们提出了一个系统,将帮助视障人士的室内环境移动。它使用预先注册的AR(增强现实)标记的信息来识别特定的无障碍设施,如走廊、洗手间、楼梯和办公室。RGB-D传感器(提供每个像素的颜色和深度信息的传感器)捕获包含AR标记的场景。这些基于场景的信息由神经网络处理,以识别和定位障碍物和可访问的设施。提出了图像和深度轮廓的处理算法。在建筑物内部评估了系统在障碍物定位和识别方面的性能。
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