TY - JOUR A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Real-time wind estimation on a micro unmanned aerial vehicle using its inertial measurement unit T2 - Sensors and actuators A: Physical N2 - This paper presents an approach for a quadrocoper-based micro unmanned aerial vehicle (UAV) that estimates the wind vector (speed and direction) in real-time based on measurement data of its on-board sensors only. This method does not need any additional airspeed sensor or dedicated anemometer, and thus the micro UAV's valuable payload remains free for other sensors. Wind tunnel and field tests were used to evaluate the performance of the approach. In order to quantify its accuracy, experiments are presented where data was collected with an anemometer placed in an open field with the micro UAV in flight following a predefined trajectory around the anemometer and hovering at a defined position close to it. PB - Elsevier Science CY - Amsterdam [u.a.] KW - Micro unmanned aerial vehicle (UAV) KW - Quadrocopter KW - Real-time KW - Inertial measurement unit (IMU) KW - Airspeed calibration KW - Wind estimation (speed and direction) PY - 2015 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/34737 AN - OPUS4-34737 SN - 0924-4247 VL - 235 SP - 300 EP - 310 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany