@inproceedings{e46bdee8149f4b9a9f58bf9420b057cf,
title = "A low-cost and fail-safe inertial navigation system for airplanes",
abstract = "A typical Inertial Navigation System (INS) fuses acceleration and angular rate readings with aiding measurements obtained by GPS and a compass. Here we present a robust state estimation framework based on the Extended Kalman Filter (EKF) applied to low-cost electronics typically installed on-board small unmanned airplanes. It uses airspeed measurements as a backup operation mode replacing GPS updates when temporarily unavailable. We demonstrate the applicability of the proposed approach to real-world scenarios using a challenging dataset recorded on-board a manned glider including long-term circling. A comparison between the normal operation mode and the backup solution reveals minimal difference between the respective orientation estimates, a position error growth sub-linear with time during GPS outage and a seamless transition back to GPS-based operation.",
author = "Stefan Leutenegger and Siegwart, {Roland Y.}",
year = "2012",
doi = "10.1109/ICRA.2012.6225061",
language = "English",
isbn = "9781467314039",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "612--618",
booktitle = "2012 IEEE International Conference on Robotics and Automation, ICRA 2012",
note = " 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 ; Conference date: 14-05-2012 Through 18-05-2012",
}