@inproceedings{b4870376d6674d0dbf772986cf583f85,
title = "Vision-aided indoor pedestrian dead reckoning",
abstract = "Vision-aided inertial navigation has become a very popular method for indoor navigation recently. This popularity is basically due to the development of light-weighted and low-cost Micro Electro-Mechanical Systems (MEMS) as well as advancement and availability of Charged-Couple-Device (CCD) cameras in public indoor areas. While the use of inertial sensors and cameras are challenging due to drift accumulation and object detection in line of sight, respectively, the integration of these two sensors can compensate their drawbacks and provide more accurate positioning solutions. This study examines this hypothesis by evaluating the accuracy of the vision-aided systems for indoor positioning and tracking. The novel aspect of this study is to implement inertial and visual sensors in independent platforms other than attached together on the same platform. The other novelty is to integrate digitized floor plans for absolute position information. The mean accuracy of this positioning system is 11% higher than uncalibrated inertial positioning during experiment.",
keywords = "deep learning, indoor optical positioning, pedestrian dead reckoning, pedestrian detection, sensor fusion",
author = "Jingjing Yan and Gengen He and Anahid Basiri and Craig Hancock",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 ; Conference date: 14-05-2018 Through 17-05-2018",
year = "2018",
month = jul,
day = "10",
doi = "10.1109/I2MTC.2018.8409599",
language = "English",
series = "I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference",
address = "United States",
}