@inproceedings{2b91bddd2f41427cb2e6cb37dfbf7322,
title = "Wide-field optical flow aided inertial navigation for unmanned aerial vehicles",
abstract = "Low-cost navigation can be performed for aircraft using the integration of Inertial Navigation System (INS) information in conjunction with a regulatory information source, such as Global Position System (GPS). For situations where GPS is unavailable, it is desirable to have an alternative information source in order to regulate the known drifting phenomenon experienced by INS. In this paper, the use of wide-field optical flow is explored to regulate INS drift for the purpose of GPS-denied navigation. An Unscented Information Filter (UIF) algorithm for Unmanned Aerial Vehicle (UAV) velocity and attitude estimation is proposed and evaluated with experimental flight data. The results demonstrate that the new filtering algorithm is capable of estimating the vehicle speed with approximately 1.4 m/s of error and regulating attitude errors to within 1.5 degrees standard deviation of error for both roll and pitch angles.",
author = "Rhudy, \{Matthew B.\} and Haiyang Chao and Yu Gu",
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.2014.6942631",
language = "English (US)",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "674--679",
booktitle = "IROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems",
address = "United States",
}