Indoor Pedestrian Localization With a Smartphone: A Comparison of Inertial and Vision-Based Methods
- 10 May 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Journal
- Vol. 16 (13), 5376-5388
- https://doi.org/10.1109/jsen.2016.2565899
Abstract
Indoor pedestrian navigation systems are increasingly needed in various types of applications. However, such systems are still face many challenges. In addition to being accurate, a pedestrian positioning system must be mobile, cheap, and lightweight. Many approaches have been explored. In this paper, we take the advantage of sensors integrated in a smartphone and their capabilities to develop and compare two low-cost, hands-free, and handheld indoor navigation systems. The first one relies on embedded vision (smartphone camera), while the second option is based on low-cost smartphone inertial sensors (magnetometer, accelerometer, and gyroscope) to provide a relative position of the pedestrian. The two associated algorithms are computationally lightweight, since their implementations take into account the restricted resources of the smartphone. In the experiment conducted, we evaluate and compare the accuracy and repeatability of the two positioning methods for different indoor paths. The results obtained demonstrate that the vision-based localization system outperforms the inertial sensor-based positioning system.Keywords
Funding Information
- Région Centre through the AZIMUT Project
This publication has 44 references indexed in Scilit:
- SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor LocalizationIEEE Sensors Journal, 2014
- A Survey of Indoor Inertial Positioning Systems for PedestriansIEEE Communications Surveys & Tutorials, 2013
- A reliable and accurate indoor localization method using phone inertial sensorsPublished by Association for Computing Machinery (ACM) ,2012
- Integrated online localization and navigation for people with visual impairments using smart phonesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Indoor pedestrian displacement estimation using Smart phone inertial sensorsInternational Journal of Innovative Computing and Applications, 2012
- FootPath: Accurate map-based indoor navigation using smartphonesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- A robust dead-reckoning pedestrian tracking system with low cost sensorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote ExperienceIEEE Transactions on Instrumentation and Measurement, 2005
- Pedestrian Tracking with Shoe-Mounted Inertial SensorsIEEE Computer Graphics and Applications, 2005
- A Step, Stride and Heading Determination for the Pedestrian Navigation SystemThe Journal of Global Positioning Systems, 2004