Determining a Blind Pedestrian's Location and Orientation at Traffic Intersections.

Giovanni Fusco, Huiying Shen, Vidya Murali, James M Coughlan
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引用次数: 9

Abstract

This paper describes recent progress on Crosswatch, a smartphone-based computer vision system developed by the authors for providing guidance to blind and visually impaired pedestrians at traffic intersections. One of Crosswatch's key capabilities is determining the user's location (with precision much better than what is obtainable by GPS) and orientation relative to the crosswalk markings in the intersection that he/she is currently standing at; this capability will be used to help him/her find important features in the intersection, such as walk lights, pushbuttons and crosswalks, and achieve proper alignment to these features. We report on two new contributions to Crosswatch: (a) experiments with a modified user interface, tested by blind volunteer participants, that makes it easier to acquire intersection images than with previous versions of Crosswatch; and (b) a demonstration of the system's ability to localize the user with precision better than what is obtainable by GPS, as well as an example of its ability to estimate the user's orientation.

Abstract Image

Abstract Image

确定一个盲人行人在交通路口的位置和方向。
本文介绍了Crosswatch的最新进展,Crosswatch是一种基于智能手机的计算机视觉系统,由作者开发,用于在交通路口为盲人和视障行人提供指导。Crosswatch的关键功能之一是确定用户的位置(精度比GPS高得多),以及用户当前所处十字路口人行横道标志的方向;这种能力将帮助他/她找到十字路口的重要特征,如步行灯、按钮和人行横道,并实现这些特征的适当对齐。我们报告了对Crosswatch的两项新贡献:(a)使用修改后的用户界面进行的实验,由盲人志愿者参与者进行测试,这使得它比以前版本的Crosswatch更容易获取交叉图像;以及(b)该系统比GPS更精确地对用户进行定位的能力的演示,以及其估计用户方向的能力的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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