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首页> 外文期刊>IFAC PapersOnLine >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：用于行人航位推测的视觉障碍的室内导航助手和模式识别的校正位置估计

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Abstract: 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：摘要：本文提出了一种引导式音频室内导航系统，该系统内置于可穿戴设备中，旨在与混合地图配合使用。该映射使用位于已知环境中的射频标签（RF）和视觉标记。该系统允许视障用户安全，快速地执行引导导航，并且计算复杂度低。选择的方法论方法将系统分为两个阶段：离线和在线。在离线阶段，通过构建标记以生成上下文数据库来完成内部映射，从而提高了位置指示的质量。进行室内导航的在线阶段基于接近方法，视觉模式识别，里程表识别和障碍物的超声波感知。结果表明，对于视觉和RF标记的识别率高于90.00％，平均计算时间为0.4秒，超过95.00％的阳性超声可感知屏障。

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