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首页> 外文会议>IFAC Symposium on Telematics Applications >Indoor Navigation Assistant for Visually Impaired by Pedestrian Dead Reckoning and Position Estimative of Correction for Patterns Recognition
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Indoor Navigation Assistant for Visually Impaired by Pedestrian Dead Reckoning and Position Estimative of Correction for Patterns Recognition

机译：室内导航助理，用于审计的行人死亡抵销和定位校正模式识别的校正

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摘要

This paper presents a guided audio Indoor navigation system built in a wearable device designed to work with a hybrid mapping. This mapping uses radio frequency tags (RF) and visual markers located within a known environment. The system allows visually impaired users to perform a guided navigation safe and fast, and has a low computational complexity. The methodological approach chosen divides the system into two phases: an offline and another online. In the offline phase, the interior mapping is done by building markers to generate a contextual database, which increases the quality of the location indication. The online phase, where the indoor navigation is performed, is based on a proximity method, recognition of visual pattern, odometry, and ultrasonic perception of obstacles. The results showed rates higher than 90.00% for the recognition of visual and RF markers with average computation time of 0.4 seconds, and more than 95.00% of positive ultrasonic perceived barriers.
机译：本文介绍了一个引导的音频室内导航系统，内置于可穿戴设备，该设备设计用于使用混合映射。此映射使用位于已知环境中的射频标签（RF）和视觉标记。该系统允许视觉受损的用户执行引导导航安全和快速，并且具有低的计算复杂性。选择的方法方法将系统分为两个阶段：离线和另一个在线。在离线阶段，内部映射是通过构建标记来生成上下文数据库的内部映射，从而提高位置指示的质量。在进行室内导航的在线阶段，基于接近方法，识别视觉模式，内径术和对障碍物的超声波感知。结果表明，识别视觉和射频标记的速度高于90.00％，平均计算时间为0.4秒，占积极超声波感知屏障的95.00％。

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