@inproceedings{538271903bb74cacb206c96d853f326f,
title = "Robot-assisted human indoor localization using the Kinect sensor and smartphones",
abstract = "Human indoor localization was previously implemented using wireless sensor networks at the cost of sensing infrastructure deployment. Motivated by high density of smartphones in public spaces, we propose to use a robot-assisted localization system in which the low-cost Kinect sensor and smartphone-based acoustic relative ranging are used to localize moving human targets in indoor environments. An extended Kalman filter based localization algorithm is developed for real-time dynamic position estimation. We present both simulations and real robot-smartphone experiments demonstrating the performance with a localization accuracy of approximately 0.5m.",
author = "Chao Jiang and Muhammad Fahad and Yi Guo and Jie Yang and Yingying Chen",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 ; Conference date: 14-09-2014 Through 18-09-2014",
year = "2014",
month = oct,
day = "31",
doi = "10.1109/IROS.2014.6943137",
language = "English (US)",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4083--4089",
booktitle = "IROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems",
address = "United States",
}