Fusco Giovanni, Shen Huiying, Murali Vidya, Coughlan James M
Comput Help People Spec Needs. 2014;8547:427-432. doi: 10.1007/978-3-319-08596-8_65.
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.
本文介绍了Crosswatch的最新进展,Crosswatch是作者开发的一种基于智能手机的计算机视觉系统,用于在交通路口为盲人和视力受损的行人提供引导。Crosswatch的一项关键功能是确定用户的位置(精度远高于全球定位系统所能达到的精度)以及相对于其当前所在路口人行横道标记的方向;此功能将用于帮助用户找到路口的重要特征,如步行信号灯、按钮和人行横道,并与这些特征实现正确对齐。我们报告了对Crosswatch的两项新贡献:(a)对经过改进的用户界面进行了实验,由盲人志愿者参与者进行测试,该界面比Crosswatch的先前版本更易于获取路口图像;(b)展示了该系统以高于全球定位系统所能达到的精度对用户进行定位的能力,以及其估计用户方向能力的一个示例。