Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest

Greco, Roberto; Barca, Emanuele; Raumonen, Pasi; Persia, Manuela; Tartarino, Patrizia

doi:10.1016/j.jag.2023.103426

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…UAVs offer numerous advantages, such as strong maneuverability, low maintenance costs, vertical takeoff ability, and impressive hovering capabilities. As a result, they are widely used in various fields, including search and rescue, exploration, disaster monitoring, inspection, and agriculture [1][2][3][4]. However, limitations on payload and flight time significantly restrict the range of UAV missions.…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation

Wang,

Ma,

Zhu

et al. 2023

Drones

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In this paper, we examine potential methods for autonomously tracking and landing multi-rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous tracking and landing control technology utilizes visual navigation, relying solely on vision and landmarks to track targets and achieve autonomous landing. This technology improves the UAV’s environment perception and autonomous flight capabilities in GPS-free scenarios. In particular, we are researching tracking and landing as a cohesive unit, devising a switching plan for various UAV tracking and landing modes, and creating a flight controller that has an inner and outer loop structure based on relative position estimation. The inner and outer nested markers aid in the autonomous tracking and landing of UAVs. Optimal parameters are determined via optimized experiments on the measurements of the inner and outer markers. An indoor experimental platform for tracking and landing UAVs was established. Tracking performance was verified by tracking three trajectories of an unmanned ground vehicle (UGV) at varying speeds, and landing accuracy was confirmed through static and dynamic landing experiments. The experimental results show that the proposed scheme has good dynamic tracking and landing performance.

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Section: Introductionmentioning

confidence: 99%

An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation

Wang,

Ma,

Zhu

et al. 2023

Drones

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Information Acquisition and Seismic Damage Prediction of Masonry Structures in Rural Areas Based on UAV Inclined Photogrammetry

Kong,

Petchsasithon

2024

J INFORM SYSTEMS ENG

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Using a novel methodology that integrates incremental dynamic analysis (IDA) and unmanned aerial vehicle positioning (POS) analysis, this study aims to assess the seismic risk of brick structures in rural China. This method can collect a lot of data and accurately anticipate seismic damage by combining UAV oblique photography with IDA analysis. Because rural China has many masonry structures, the project will design unique seismic risk mitigation strategies. High-resolution cameras on Unmanned Aerial Vehicles capture realistic photographs of rural brick buildings. The collected data is carefully examined to reveal architectural and structural elements. The project uses dynamic post-processing software from the CHC Geomatics Office to improve UAV-reference station position accuracy. This program analyzes UAV POS data disparities. The findings allow rural Chinese brick buildings to be assessed for seismic sensitivity during unexpected ground shaking occurrences. UAV tilt-photography reduces manpower and expenditures, improving inquiry efficiency. This combination improves seismic risk response. The IDA and UAV POS analysis are essential for earthquake preparedness and risk mitigation. This data-driven method informs lawmakers, urban planners, and disaster management authorities worldwide, improving earthquake engineering and catastrophe resilience programs. This work improves seismic threat assessment and masonry structure fortification, making earthquake-prone buildings safer. Thus, rural communities benefit from it.

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Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest

Cited by 2 publications

References 31 publications

An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation

An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation

Information Acquisition and Seismic Damage Prediction of Masonry Structures in Rural Areas Based on UAV Inclined Photogrammetry

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