System identification campaign - Skywalker X8 UAV
The data was collected by the NTNU UAV lab as part of the system identification campaign for the Skywalker X8 UAV in May of 2023 at Agdenes Airfield, Norway. The dataset includes 17 maneuvers, where each maneuver is approximately 10 seconds long.
Løw-Hansen, Bogdan, Hann, Richard
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Design of an embedded microcomputer based mini quadrotor UAV [PDF]
This paper describes the design and realization of a mini quadrotor UAV (Unmanned Aerial Vehicle) that has been initiated in the Systems and Control Laboratory at the Computer and Automation Research institute of the Hungarian Academy of Science in ...
Lantos, Béla +4 more
core
Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries. [PDF]
Wang Y, Jia X, Chai G, Lei L, Zhang X.
europepmc +1 more source
Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering. [PDF]
Li Y +9 more
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A CFD technique for estimating the flow distortion effects on LiDAR measurements when made in complex flow fields [PDF]
The effect of flow distortion on the measurements produced by a LiDAR or SoDAR in close proximity to either complex terrain or a structure creating localised flow distortion is difficult to determine by analytical means.
Astrup, P. +5 more
core
A deployment-oriented quality-control framework for integrating UAV LiDAR and field inventory in precision forestry. [PDF]
Lu X +6 more
europepmc +1 more source
UAV LiDAR point cloud and ground measurement dataset for assessing the impact of flight parameters over a poplar plantation. [PDF]
Baup F, Battista C, Frappart F.
europepmc +1 more source
Time-Series Analysis of Microtopographic Evolution and Morphological Changes in Regressive Tidal Creeks via UAV-LiDAR. [PDF]
Kim J, Yoon H, Hong I.
europepmc +1 more source
Multi-parameter dataset of self-potential, electrical resistivity tomography, soil properties, and UAV LiDAR topography from the Fengjiaping loess-mudstone landslide, China. [PDF]
Bai G +11 more
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