Low-Cost Vision-Based Positioning System


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Date

2018-01-15

Publication Type

Conference Paper

ETH Bibliography

no

Citations

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Data

Abstract

This study will introduce a prototype design of indoor positioning system with the combination of vision-based pedestrian tracking and digital map information in WGS 1984 and in future will combine with INS. A trial has been finished for visual tracking with integration of digitized floor plan, taking place in PMB Building in University of Nottingham. The result is promising for future development of positioning system.

Publication status

published

External links

Book title

Adjunct Proceedings of the 14th International Conference on Location Based Services

Journal / series

Volume

Pages / Article No.

44 - 49

Publisher

ETH Zurich

Event

14th International Conference on Location Based Services (LBS 2018)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Indoor positioning; Pedestrian detection; Deep learning; Human tracking; Sensor fusion

Organisational unit

Notes

Funding

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