EnglishWe 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.
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
Demo: Sensor Fusion Localization and Navigation for Visually Impaired People / Galioto, Giovanni; Tinnirello, Ilenia; Croce, Daniele; Inderst, Federica; Pascucci, Federica; Giarrè, Laura. - (2017), pp. 471-473. ((Intervento presentato al convegno 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017 tenutosi a Snowbird, Utah, USA nel October 16 - 20, 2017.
| Data di pubblicazione: | 2017 |
| Titolo: | Demo: Sensor Fusion Localization and Navigation for Visually Impaired People |
| Autore/i: | Galioto, Giovanni; Tinnirello, Ilenia; Croce, Daniele; Inderst, Federica; Pascucci, Federica; Giarrè, Laura |
| Autore/i UNIMORE: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1145/3117811.3119858 |
| Codice identificativo Scopus: | 2-s2.0-85034110179 |
| Codice identificativo ISI: | WOS:000462893900042 |
| Nome del convegno: | 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017 |
| Luogo del convegno: | Snowbird, Utah, USA |
| Data del convegno: | October 16 - 20, 2017 |
| Pagina iniziale: | 471 |
| Pagina finale: | 473 |
| Citazione: | Demo: Sensor Fusion Localization and Navigation for Visually Impaired People / Galioto, Giovanni; Tinnirello, Ilenia; Croce, Daniele; Inderst, Federica; Pascucci, Federica; Giarrè, Laura. - (2017), pp. 471-473. ((Intervento presentato al convegno 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017 tenutosi a Snowbird, Utah, USA nel October 16 - 20, 2017. |
| Tipologia | Relazione in Atti di Convegno |
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