@inproceedings{4248860c679244ed8b77d8e375082537,
title = "Measuring the horizontal wind for forest fire monitoring using multiple UAVs",
abstract = "An approach for estimating the horizontal wind based on a fleet of unmanned aerial vehicles (UAVs) is presented in this paper. Since the forest fire behavior is vulnerable to the wind environment, this methodology is considered to apply for forest fire monitoring. Also, the proposed method is especially suitable for measurements on the commercial UAVs platforms, due to its characteristic that estimating wind speed without additional meteorological and flow sensors. The method is derived from the wind triangle in the condition that the ground speeds of vehicles require to be constant. By circularly fitting and locating the center of the airspeed samplings in the Cartesian plane, the wind speed can be retrieved. A recursive least-squares (RLS) estimator is designed to estimate the wind speed with on-line measurements collected by the fleet of UAVs. The effectiveness of the algorithm is demonstrated in a simulation environment.",
keywords = "RLS estimator, Unmanned aerial vehicles (UAVs), Wildfire monitoring, Wind estimation",
author = "Xing, {Z. W.} and Zhang, {Y. M.} and Su, {C. Y.} and Qu, {Y. H.}",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8865350",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4945--4950",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
}