Indoor Navigation Assistant for Visually Impaired by Pedestrian Dead Reckoning and Position Estimative of Correction for Patterns Recognition

被引：6

作者：

Seiffert Simoes, Walter C. S. ^{[1
]}

de Lucena, Vicente F., Jr. ^{[2
]}

机构：

[1] Univ Fed Amazonas UFAM, PPGI, Manaus, Amazonas, Brazil

[2] Univ Fed Amazonas UFAM, PPGI, CETELI, PPGEE, Manaus, Amazonas, Brazil

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 30期

关键词：

Adaptive algorithms; adjacency matrix; inertial navigation; multivalued mapping;

D O I：

10.1016/j.ifacol.2016.11.149

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.(C) 2016 IFAC (Internantional federation of Automatic Control ) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：167 / 170

页数：4