2017
DOI: 10.1109/tnet.2017.2707101
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Travi-Navi: Self-Deployable Indoor Navigation System

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Cited by 103 publications
(90 citation statements)
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“…Travi-Navi [52] is another sophisticated vision-guided navigation system that enables a self-motivated user to easily bootstrap and deploy indoor navigation services on his/her smartphone, without comprehensive indoor localization systems or even the availability of floor maps. Travi-Navi records high-quality images during the course of a guider's walk on the navigation paths, collects a rich set of sensor readings, and packs them into a navigation trace.…”
Section: D Space Sensing and Augmented Reality Systemsmentioning
confidence: 99%
“…Travi-Navi [52] is another sophisticated vision-guided navigation system that enables a self-motivated user to easily bootstrap and deploy indoor navigation services on his/her smartphone, without comprehensive indoor localization systems or even the availability of floor maps. Travi-Navi records high-quality images during the course of a guider's walk on the navigation paths, collects a rich set of sensor readings, and packs them into a navigation trace.…”
Section: D Space Sensing and Augmented Reality Systemsmentioning
confidence: 99%
“…C a l c u l a t eR T F ( ( , ), ) according to (1). (8) Calculate RTF-IFF( ( , ), ) according to (3).…”
Section: Definition 2 (Rss Term Frequency) One Defines Rss Termmentioning
confidence: 99%
“…We have used an increasing number of training samples, from 20.000 to 160.000. We evaluated three alternative models: (a) uses the initial equation proposed in Equation (5); (b) when a user had more than 10 training samples, we use Equation (5), in other cases, we use Equation (6), where p(u|l) is removed; (c) uses Equation (7), with variables h and d jointly estimated; (d) uses Equation (8) that assumes TM is symmetric ((b) considerations are also used). …”
Section: Evaluation Of the Location Estimationmentioning
confidence: 99%
“…[5]. Some of them need a connection to another big system-like a cloud-to send the information, and this outsider system calculates the location of the end device [6]. Others estimate their position by multilateration using their neighbors [7].…”
Section: Introductionmentioning
confidence: 99%