Shen Huiying, Chan Kee-Yip, Coughlan James, Brabyn John
The Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA.
Technol Disabil. 2008 Oct 22;20(3):217-224.
Urban intersections are the most dangerous parts of a blind or visually impaired pedestrian's travel. A prerequisite for safely crossing an intersection is entering the crosswalk in the right direction and avoiding the danger of straying outside the crosswalk. This paper presents a proof of concept system that seeks to provide such alignment information. The system consists of a standard mobile phone with built-in camera that uses computer vision algorithms to detect any crosswalk visible in the camera's field of view; audio feedback from the phone then helps the user align him/herself to it. Our prototype implementation on a Nokia mobile phone runs in about one second per image, and is intended for eventual use in a mobile phone system that will aid blind and visually impaired pedestrians in navigating traffic intersections.
城市十字路口是盲人或视力受损行人出行中最危险的路段。安全通过十字路口的一个前提条件是以正确的方向进入人行横道,并避免偏离人行横道的危险。本文提出了一个概念验证系统,旨在提供此类对齐信息。该系统由一部带有内置摄像头的标准移动电话组成,该摄像头使用计算机视觉算法来检测摄像头视野内可见的任何人行横道;然后手机的音频反馈帮助用户与之对齐。我们在诺基亚手机上的原型实现每处理一张图像大约需要一秒钟,其最终目标是应用于一个移动电话系统,该系统将帮助盲人和视力受损的行人在交通十字路口导航。