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RESEARCH PRODUCT
An Indoor and Outdoor Navigation System for Visually Impaired People
Giovanni Ettore GaliotoLaura GiarreAlice Lo ValvoFederica PascucciDomenico GarlisiDaniele CroceIlenia Tinnirellosubject
General Computer ScienceComputer scienceVisually impairedComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologydead reckoning01 natural sciencescomputer visionInertial measurement unitDead reckoning0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceComputer visionbusiness.industryDeep learning010401 analytical chemistryGeneral EngineeringNavigation system020206 networking & telecommunicationsTracking systemKalman filterNavigation0104 chemical sciencesvisually impairedArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinessKalman filteringlcsh:TK1-9971description
In this paper, we present a system that allows visually impaired people to autonomously navigate in an unknown indoor and outdoor environment. The system, explicitly designed for low vision people, can be generalized to other users in an easy way. We assume that special landmarks are posed for helping the users in the localization of pre-defined paths. Our novel approach exploits the use of both the inertial sensors and the camera integrated into the smartphone as sensors. Such a navigation system can also provide direction estimates to the tracking system to the users. The success of out approach is proved both through experimental tests performed in controlled indoor environments and in real outdoor installations. A comparison with deep learning methods has been presented. © 2013 IEEE.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-01 | IEEE Access |