@inproceedings{42fa38b59b88400796be816f11978f21,
title = "Wind field estimation for autonomous dynamic soaring",
abstract = "A method for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic soaring for small unmanned air vehicles, which severely constrains available computing while simultaneously requiring updates that are fast compared with a typical dynamic soaring cycle. A polynomial parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter estimation. Results of Monte Carlo simulations show the effectiveness of the approach. In addition, in-flight measurements of wind speeds are compared with data obtained from video tracking of balloon launches to assess the accuracy of wind field estimates obtained using commercial autopilot modules.",
author = "Langelaan, {Jack W.} and John Spletzer and Corey Montella and Joachim Grenestedt",
year = "2012",
month = jan,
day = "1",
doi = "10.1109/ICRA.2012.6224954",
language = "English (US)",
isbn = "9781467314039",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "16--22",
booktitle = "2012 IEEE International Conference on Robotics and Automation, ICRA 2012",
address = "United States",
note = " 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 ; Conference date: 14-05-2012 Through 18-05-2012",
}