In unmanned aerial vehicle (UAV) photogrammetric surveys, the camera can be pre-
calibrated or can be calibrated “on-the-job” using structure-from-motion and a self …

This paper focuses on the design, implementation and experimental validation of a Tube-
Based Model Predictive Control (TBMPC) law for the stabilization of the horizontal dynamics …

Most of consultation work only involves a small area, especially for slope mapping studies.
The objective of this study is to evaluate the accuracy of slope mapping results from different …

This study tried to analyze error range and resolution of drone images using a rotary wing by
comparing them with field measurement results and to analyze stands patterns in actual …

In this study, we generated orthoimages and Digital Elevation Model (DEM) from Unmanned
Aerial Vehicle (UAV) to confirm the accuracy of possibility of geospatial information system …

Two formulations of model predictive control (MPC) that have robustness properties over
conventional MPC are presented and studied for the control of the translational dynamics of …

This study proposes a generic approach for photogrammetric survey using unmanned aerial
vehicle (UAV). UAV is one of the powerful equipment that can be used to obtain the earth …

This paper demonstrates the performance of a fixed-wing unmanned aerial vehicle in
mapping semi-undulated area. Current practices incur huge cost and time consuming. The …

The accurate measurement of forest tree biomass and its changes is a significant challenge
faced by programs aimed at reducing global emissions of carbon from deforestation and …

Many studies have been done previously to generate a slope map at the area of interest.
However, most of these methods can be time consuming and they require huge cost …