A Method for Estimating the Area of Damaged Croplands and Woodlands with the Use of Unmanned Aerial Vehicles (Drones)

2017 ◽  
Author(s):  
Tomasz Podciborski ◽  
Jacek Kil
Keyword(s):  
Natural Disasters ◽  
Unmanned Aerial Vehicles ◽  
Spatial Information ◽  
Rapid Development ◽  
Spatial Development ◽  
Measurement Methods ◽  
Loss Assessment ◽  
Aerial Vehicles ◽  
Extent Of Damage

Growing social demand for access to spatial information spurs the rapid development of measurement methods and systems for registering the results of spatial evaluations and analyses (Kwietniewski 2008). Any assessment of spatial development is carried out on the basis of information obtained from specific sources (Kowalczyk 2007). The main objective of this study was to propose a method for assessing the extent of damage caused by natural disasters to croplands and woodlands with the use of unmanned aerial vehicles (drones). The main aim was achieved through detailed goals, including determination of the causes of natural disasters, description of the field inspection procedure and development of loss assessment principles. The proposed method was verified in selected research sites, and the resulting damage report detailing cropland losses is presented in the study.

scholarly journals Learning-Based Autonomous UAV System for Electrical and Mechanical (E&M) Device Inspection

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1385
Author(s):  
Yurong Feng ◽  
Kwaiwa Tse ◽  
Shengyang Chen ◽  
Chih-Yung Wen ◽  
Boyang Li
Keyword(s):  
System Design ◽  
State Estimation ◽  
Unmanned Aerial Vehicles ◽  
Visual Inspection ◽  
Spatial Information ◽  
Free Flight ◽  
Object State ◽  
Aerial Vehicles ◽  
Inspection Tasks ◽  
Autonomous Inspection

The inspection of electrical and mechanical (E&M) devices using unmanned aerial vehicles (UAVs) has become an increasingly popular choice in the last decade due to their flexibility and mobility. UAVs have the potential to reduce human involvement in visual inspection tasks, which could increase efficiency and reduce risks. This paper presents a UAV system for autonomously performing E&M device inspection. The proposed system relies on learning-based detection for perception, multi-sensor fusion for localization, and path planning for fully autonomous inspection. The perception method utilizes semantic and spatial information generated by a 2-D object detector. The information is then fused with depth measurements for object state estimation. No prior knowledge about the location and category of the target device is needed. The system design is validated by flight experiments using a quadrotor platform. The result shows that the proposed UAV system enables the inspection mission autonomously and ensures a stable and collision-free flight.

scholarly journals A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

2021 ◽  
Vol 11 (13) ◽  
pp. 5772
Author(s):  
Dawid Lis ◽  
Adam Januszko ◽  
Tadeusz Dobrocinski
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Rapid Development ◽  
Lift Coefficient ◽  
Flow Analysis ◽  
Water Tunnel ◽  
Dual Use ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Technical Construction

The purpose of this article is to present and discuss the results of a non-standard unnamed aerial vehicle construction with a constant cross-section square-shaped avionic profile. Based on the model’s in-air observed maneuverability, the research of avionic construction behavior was carried out in a water tunnel. The results show the model’s specific lift capabilities in comparison to classical avionic constructions. The characteristic results of the lift coefficient showed that the unmanned aerial vehicle presents favorable features than classic avionic constructions. The model was created with the prospect of using it in the future for dual-use purposes, where unmanned aerial vehicles are currently experiencing very rapid development. When creating the prototype, the focus was on low production cost, as well as convenience in operation. The development of this type of breakthrough avionic solution, which shows extraordinary maneuverability, may contribute to increasing the popularity and, above all, the availability of unmanned aerial vehicles for the largest possible group of recipients because of high avionic properties in relation to the technical construction complexity.

Unmanned Aerial Vehicles Take off from Inclined Surfaces in Disaster Situations

2013 ◽  
Vol 846-847 ◽  
pp. 94-97
Author(s):  
Yan Xiong Wu ◽  
Min Jiao
Keyword(s):  
Natural Disasters ◽  
Unmanned Aerial Vehicles ◽  
Hybrid System ◽  
Pitch Angle ◽  
Disaster Research ◽  
Aerial Vehicles ◽  
Inclined Surfaces ◽  
The Relationship

Unmanned aerial vehicles (UAVs) have been utilized to acquire imagery for disaster research and management in recent years. Because of the huge destructive power of natural disasters, it is usually difficult for UAVs to find plane to take off. In this paper, we proposed a hybrid system to control UAVs, taking off from inclined surfaces continuously. The relationship between the pitch angle and the altitude of UAVs has been analyzed. The experiments results show that our hybrid system and method are efficient and applicable in disaster situations.

scholarly journals UNMANNED AERIAL VEHICLE USE FOR WOOD CHIPS PILE VOLUME ESTIMATION

2016 ◽  
Vol XLI-B1 ◽  
pp. 953-956
Author(s):  
M. Mokroš ◽  
M. Tabačák ◽  
M. Lieskovský ◽  
M. Fabrika
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Applied Research ◽  
Rapid Development ◽  
Volume Estimation ◽  
Wood Chips ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Gnss Data

The rapid development of unmanned aerial vehicles is a challenge for applied research. Many technologies are developed and then researcher are looking up for their application in different sectors. Therefore, we decided to verify the use of the unmanned aerial vehicle for wood chips pile monitoring. <br><br> We compared the use of GNSS device and unmanned aerial vehicle for volume estimation of four wood chips piles. We used DJI Phantom 3 Professional with the built-in camera and GNSS device (geoexplorer 6000). We used Agisoft photoscan for processing photos and ArcGIS for processing points. <br><br> Volumes calculated from pictures were not statistically significantly different from amounts calculated from GNSS data and high correlation between them was found (p = 0.9993). We conclude that the use of unmanned aerial vehicle instead of the GNSS device does not lead to significantly different results. Tthe data collection consumed from almost 12 to 20 times less time with the use of UAV. Additionally, UAV provides documentation trough orthomosaic.

scholarly journals Brief Communication "The use of UAV in rock fall emergency scenario"

2014 ◽  
Vol 2 (6) ◽  
pp. 4011-4029 ◽  
Author(s):  
D. Giordan ◽  
A. Manconi ◽  
A. Facello ◽  
M. Baldo ◽  
F. dell'Anese ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Unmanned Aerial Vehicles ◽  
Rock Fall ◽  
Aerial Vehicles ◽  
Emergency Scenario ◽  
Study Results ◽  
First Results ◽  
Emergency Scenarios ◽  
North Western

Abstract. In recent years, the use of Unmanned Aerial Vehicles (UAVs) in operations in civilian/commercial contexts is becoming increasingly common also for the applications concerning the anthropic and natural disasters. In this paper, we present the first results of a research project aimed at defining a possible methodology for the use of micro-UAVs in emergency scenarios relevant to rock fall phenomena. To develop and support the presented method, the case study results relative to a rock fall emergency occurred on 7 March 2014 in the San Germano municipality (north-western Italy) are presented and discussed.

scholarly journals Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2928 ◽  
Author(s):  
Dong Ho Lee ◽  
Jong Hwa Park
Keyword(s):  
Power Generation ◽  
Unmanned Aerial Vehicles ◽  
Spatial Information ◽  
Thermal Infrared ◽  
Normal Operation ◽  
Infrared Sensor ◽  
Infrared Sensors ◽  
Solar Module ◽  
Inspection Method ◽  
Aerial Vehicles

Photovoltaic (PV) power generation facilities have been built on various scales due to rapid growth in response to demand for renewable energy. Facilities built on diverse terrain and on such a scale are required to employ fast and accurate monitoring technology for stable electrical production and maintenance. The purpose of this study was to develop a technology to analyze the normal operation and failure of solar modules by acquiring images by attaching optical and thermal infrared sensors to unmanned aerial vehicles (UAVs) and producing orthographic images of temperature information. The results obtained in this study are as follows: (1) a method of using optical and thermal infrared sensors with different resolutions at the same time is able to produce accurate spatial information, (2) it is possible to produce orthographic images of thermal infrared images, (3) the analysis of the temperature fluctuation characteristics of the solar panel and cell showed that the abnormal module and cell displayed a larger temperature change than the normal module and cell, and (4) the abnormal heat generation of the panel and cell can be accurately discerned by the abnormal state panel and cell through the spatial distribution of the temperature. It is concluded that the inspection method of the solar module using the obtained UAV-based thermal infrared sensor can be useful for safety inspection and monitoring of the rapidly growing solar power generation facility.

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