Sensor Fusion Localization and Navigation for Visually Impaired People

被引：5

作者：

Galioto, Giovanni ^{[1
,2
]}

Tinnirello, Ilenia ^{[1
,2
]}

Croce, Daniele ^{[1
,2
]}

Inderst, Federica ^{[3
]}

Pascucci, Federica ^{[3
]}

Giarre, Laura ^{[4
]}

机构：

[1] Univ Palermo, DEIM, Viale Sci 9, I-90128 Palermo, Italy

[2] CNIT, Viale Sci 9, I-90128 Palermo, Italy

[3] Univ Roma Tre, DI, Via Vasca Navale 79, I-00146 Rome, Italy

[4] Univ Modena & Reggio Emilia, DIEF, Via P Vivarelli 10, I-41125 Modena, Italy

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING (MOBICOM '17) | 2017年

关键词：

D O I：

10.1145/3117811.3119858

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an innovative smartphone-centric tracking system for indoor and outdoor environments, based on the joint utilization of dead-reckoning and computer vision (CV) techniques. The system is explicitly designed for visually impaired people (although it could be easily generalized to other users) and it is built under the assumption that special reference signals, such as painted lines, colored tapes or tactile pavings are deployed in the environment for guiding visually impaired users along pre-defined paths. Thanks to highly optimized software, we are able to execute the CV and sensor-fusion algorithms in run-time on low power hardware such as a normal smartphone, precisely tracking the users movements.

引用

页码：471 / 473

页数：3

共 11 条

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