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.

SUAV WARFARE IN THE NEXT DECADE

2021 ◽  
Vol 17 (1) ◽  
pp. 103-110
Author(s):  
Rodríguez YAGO
Keyword(s):  
System Design ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
The Future ◽  
The Way

Abstract: In this document we have focused on researching the so-called "Small Unmanned Aerial Vehicles" in order to find out what their main characteristics are and how they may affect the way we fight in the future. To achieve our goal, we have established several subjects relevant to any fighting system: design, manufacturing, tactical capabilities, logistics, recent experiences. After analyzing them we have come to a series of conclusions.

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.

Extended Kalman Filter Based Quadrotor State Estimation Based on Asynchronous Multisensor Data

2015 ◽  
Author(s):  
Mohammad Sarim ◽  
Alireza Nemati ◽  
Manish Kumar ◽  
Kelly Cohen
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Unmanned Aerial Vehicles ◽  
Extended Kalman Filter ◽  
Real World ◽  
Flight Test ◽  
Communication Delays ◽  
Multiple Sensors ◽  
Aerial Vehicles ◽  
Multisensor Data

For effective navigation and tracking applications involving Unmanned Aerial Vehicles (UAVs), data fusion from multiple sensors is utilized. However, asynchronous nature of the sensors, coupled with loss of data and communication delays, makes this process not very reliable. For a better estimation of the data, some sort of filtering scheme is needed. This paper presents an Extended Kalman Filter (EKF) based quadrotor state estimation by exploiting the dynamic model of the UAV. The data coming from the sensors is noisy and intermittent. The EKF filters and provides estimated data for the missing timestamps. An indoor flight test establishes the accuracy of the EKF, and another outdoor flight test validates the developed scheme for the real world scenario.

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
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Visual Inspection ◽  
Aerial Vehicles

Visual Inspection of Historical Buildings Using Unmanned Aerial Vehicles (UAV): A Case Study of Sultan Abu Bakar Mosque, Johor

2016 ◽  
Vol 22 (9) ◽  
pp. 2160-2163 ◽  
Author(s):  
Masiri Kaamin ◽  
Misbahul Muneer Abd Rahman ◽  
Norhayati Ngadiman ◽  
Aslila Abd Kadir ◽  
Ahmad Hakimi Mat Nor ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Visual Inspection ◽  
Historical Buildings ◽  
Aerial Vehicles

scholarly journals Selected elements of visual inspection of the collision avoidance system for light and unmanned aircraft

2019 ◽  
Vol 20 (1-2) ◽  
pp. 265-271 ◽  
Author(s):  
Grzegorz Jaromi ◽  
Damian Kordos ◽  
Tomasz Rogalski ◽  
Paweł Rzucidło ◽  
Piotr Szczerba
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Main Part ◽  
Visual Inspection ◽  
Unmanned Aircraft ◽  
Collision System ◽  
Aerial Vehicles ◽  
Collision Avoidance System ◽  
Formal Requirements

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.

scholarly journals NEW MODEL OF A SOLAR WIND AIRPLANE FOR GEOMATIC OPERATIONS

2015 ◽  
Vol XL-1/W4 ◽  
pp. 137-142
Author(s):  
A. Achachi ◽  
D. Benatia
Keyword(s):  
Solar Wind ◽  
Law Enforcement ◽  
System Design ◽  
Unmanned Aerial Vehicles ◽  
Extended Period ◽  
Flight Crew ◽  
Aerial Vehicles ◽  
The Impact ◽  
Border Surveillance ◽  
New System

The ability for an aircraft to fly during a much extended period of time has become a key issue and a target of research, both in the domain of civilian aviation and unmanned aerial vehicles. This paper describes a new design and evaluating of solar wind aircraft with the objective to assess the impact of a new system design on overall flight crew performance. The required endurance is in the range of some hours in the case of law enforcement, border surveillance, forest fire fighting or power line inspection. However, other applications at high altitudes, such as geomatic operations for delivering geographic information, weather research and forecast, environmental monitoring, would require remaining airborne during days, weeks or even months. The design of GNSS non precision approach procedure for different airports is based on geomatic data.

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