In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery

Abstract

We autonomously directed a small quadcopter package delivery Uncrewed Aerial Vehicle (UAV) or “drone” to take off, fly a specified route, and land for a total of 209 flights while varying a set of operational parameters. The vehicle was equipped with onboard sensors, including GPS, IMU, voltage and current sensors, and an ultrasonic anemometer, to collect high-resolution data on the inertial states, wind speed, and power consumption. Operational parameters, such as commanded ground speed, payload, and cruise altitude, were varied for each flight. This large data set has a total flight time of 10 hours and 45 minutes and was collected from April to October of 2019 covering a total distance of approximately 65 kilometers. The data collected were validated by comparing flights with similar operational parameters. We believe these data will be of great interest to the research and industrial communities, who can use the data to improve UAV designs, safety, and energy efficiency, as well as advance the physical understanding of in-flight operations for package delivery drones. Measurement(s) atmospheric wind speed • atmospheric wind direction • battery current • battery voltage • position Technology Type(s) anemometer • Current / Voltage measurement sensor • GPS navigation system • inertial measurement unit Factor Type(s) programmed speed during cruise • programmed altitude during cruise • payload mass Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13814225