Technology for the Visual Inspection of Aircraft Surfaces Using Programmable Unmanned Aerial Vehicles

2019 ◽  
Vol 58 (6) ◽  
pp. 960-968
Author(s):  
Yu. B. Blokhinov ◽  
V. A. Gorbachev ◽  
A. D. Nikitin ◽  
S. V. Skryabin
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1385
Author(s):  
Yurong Feng ◽  
Kwaiwa Tse ◽  
Shengyang Chen ◽  
Chih-Yung Wen ◽  
Boyang Li

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.


2016 ◽  
Vol 22 (9) ◽  
pp. 2160-2163 ◽  
Author(s):  
Masiri Kaamin ◽  
Misbahul Muneer Abd Rahman ◽  
Norhayati Ngadiman ◽  
Aslila Abd Kadir ◽  
Ahmad Hakimi Mat Nor ◽  
...  

2019 ◽  
Vol 20 (1-2) ◽  
pp. 265-271 ◽  
Author(s):  
Grzegorz Jaromi ◽  
Damian Kordos ◽  
Tomasz Rogalski ◽  
Paweł Rzucidło ◽  
Piotr Szczerba

The work discusses selected elements of research and practical tests of the vision anti-collision system, designed for ultralight and light aircraft and unmanned aerial vehicles. At the outset, current formal requirements related to the necessity of installing anti-collision systems on aircraft are presented. The concept of IDAAS (Intruder Detection And collision Avoidance System for light aircraft) and the structure of algorithms related to image processing were presented. The main part of the work is to discuss the selected scenarios implemented during the research.


2020 ◽  
Vol 67 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Rashid K. Kurbanov ◽  
Olga M. Zakharova

The current level of technical development and accessibility allows to consider unmanned aerial vehicles as a reliable tool for operational monitoring of agricultural territories. Drones are able to observe territories that are inaccessible to helicopters and small aircrafts. The use of drones is associated with certain risks that affect flight safety. (Research purpose) To make recommendations on the preflight preparation of unmanned aerial vehicles. (Materials and methods) The authors used scientific literature, survey materials of domestic and foreign authors, websites of UAV manufacturers. (Results and discussion) The authors examined the issues of a drone registration, key parameters that influence data collection and ensure safe monitoring: operation and storage of drone batteries, visual inspection of a drone, sensors calibration, setting the “return home” point and checking the signal GPS/GLONASS communication quality, test flight, restricted areas and weather conditions. (Conclusions) It was established that UAV pre-flight preparation was an important stage in monitoring agricultural fields, which included a number of operations that were carried out with the aim of ensuring the safety of the operator and the unmanned aerial vehicle, as well as to obtain high-quality aerial photography materials. The authors determined that an unmanned aerial vehicle weighing from 250 grams to 30 kilograms was a object to be registered. They identified the need for specialized software, compliance with the rules of operation and storage of batteries, a thorough visual inspection of the drone, calibration of the compass; checking the setting of the return point to the beginning of the route, the GPS/GLONASS signal level, conducting a test flight, monitoring the readings of the inertial measuring unit and weather conditions, checking the zone of prohibited flights.


2020 ◽  
pp. 147592172091867
Author(s):  
Sungsik Yoon ◽  
Gi-Hun Gwon ◽  
Jin-Hwan Lee ◽  
Hyung-Jo Jung

In this study, the three-phase missing region of interest area detection and damage localization methodology based on three-dimensional image coordinates was proposed. In Phase 1, the coordinate transformation is performed by the position and attitude information of the unmanned aerial vehicles and camera, and the coordinates of the center point of each acquired image are obtained with the distance information between the camera and the target surface. For Phase 2, the size of the field of view of every acquired image is calculated using the focal length and working distance of the camera. Finally, in Phase 3, the missing part of the region of interest area can be identified and any damage detected at the individual image level can also be localized on the whole inspection region using information about the sizes of the field of view in all images calculated in the previous phase. In order to demonstrate the proposed methodology, experimental validation was performed on the actual bridge pier and deck as well as the lab-scale concrete shear wall. In the tests, the missing area detection and damage localization results were compared with image stitching and human visual inspection results, respectively. Experimental validation results have shown that the proposed methodology identifies missing areas and damage locations within reasonable accuracy of 10 cm.


2018 ◽  
Vol 6 (1) ◽  
pp. 44
Author(s):  
Édina Regina Rauber ◽  
Fabiane Bordin ◽  
Mônica Müller Anschau ◽  
Mauricio Roberto Veronez ◽  
Luiz Gonzaga da Silveira Jr. ◽  
...  

Bridges arose with the intention to facilitate the urban mobility. Therefore, it is essential the realization of periodic inspections and preventive maintenance, in order to identify possible pathological manifestations. Nowadays the techniques used are based on visual inspection, which the main problem is accessibility to all places in the bridge. In this sense, it is search other methods that can help these inspections, such as the use of unmanned aerial vehicles (VANTs) and multi and hyperspectral images. The methodology of the work consisted on the analysis of the current methods of inspection and identification of its requirements to compose solutions using the remote acquisition system. The inspection with this system ensures agility and security, as well as aid in the interpretation and analysis for the diagnosis of pathological manifestations.


2018 ◽  
Vol 22 (8) ◽  
pp. 44-49 ◽  
Author(s):  
N.N. Sliusar ◽  
G.M. Batrakova

The possibilities of using unmanned aerial vehicles for visual inspection of waste disposal facilities, including closed objects, are considered. Examples of the results of processing aerial photographs for assessing the achievement of design elevation marks of disposal sites, the state of the reclaimed surface of objects, and the identification of negative impacts on adjacent territories are presented. The experience of applying aerial survey results to assess the state of waste disposal facilities during the aftercare period, to obtain objective and evident information about changes in the components of the environment in the adjacent territories.


Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.


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