2015
DOI: 10.1016/j.ifacol.2015.08.137
|View full text |Cite
|
Sign up to set email alerts
|

Smart phone based indoor navigation for guidance in public transport facilities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 6 publications
0
4
0
Order By: Relevance
“…Hence, indoor mapping solutions require more reliable technology than satellite navigation services. For example, several studies [4] [5] [6] [7] use other mechanisms to enhance the reliability of the navigation system. Still, this study will only focus on satellite navigation services and outdoor user locations.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Hence, indoor mapping solutions require more reliable technology than satellite navigation services. For example, several studies [4] [5] [6] [7] use other mechanisms to enhance the reliability of the navigation system. Still, this study will only focus on satellite navigation services and outdoor user locations.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…The research trend "land-use patterns" (T50.6) was reported in thirteen articles that were focused on the use of OSM in remote sensing applications, particularly land use mapping [106][107][108][109][110][111][112][113][114]. Another trend that emerged was "indoor navigation" (T50.2), which focused on mobile enabled indoor navigation in transport services [65,66,115] and their augmentation with floor plans [68].…”
Section: Osm Research Trendsmentioning
confidence: 99%
“…The demand for indoor routing or navigation has increased vastly in recent years. This core research area included "indoor navigation" (T50.2) [65,66,68,115] and "indoor planning and simulation" (T50.5) [64,67]. In these trends, smartphone sensors have been used to acquire real time parameters.…”
Section: Indoor Navigation Models (T55)mentioning
confidence: 99%
See 1 more Smart Citation