scholarly journals DETERMINING THE LOCATION OF AN UNMANNED AERIAL VEHICLE BASED ON VIDEO CAMERA IMAGES

2021 ◽  
Vol 5 (1) ◽  
pp. 136-139
Author(s):  
Elkhan Sabziev
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Video Camera ◽  
Bijective Mapping ◽  
Observation Area ◽  
Mercator Projection ◽  
Surveillance Cameras ◽  
Aerial Vehicle

The paper deals with the problem of determining the location of an unmanned aerial vehicle from video and photo images taken by surveillance cameras. As the observation area is considered to be sufficiently limited, the area under consideration can be taken as part of a plane. The solution to the problem is based on the construction of a bijective mapping between the known geographic coordinates of three different objects recognized in the images and their coordinates relative to the monitor plane. To this end, the geographical coordinates of the objects (latitude and longitude) are first converted to the Mercator projection, and a bijective mapping is built between the coordinates of the objects calculated in the Mercator projection and the coordinates relative to the camera monitor plane. Then, based on the current orientation angles of the unmanned aerial vehicle, the coordinates of the projection of its position on the monitor plane are calculated, and the geographical coordinates are found by applying the inverse of the constructed bijective mapping.

scholarly journals TWO-LEVEL TECHNOLOGY OF INTELLIGENT APPLICATION OF ON-BOARD VIDEO CAMERA OF UNMANNED AERIAL VEHICLE FOR MONITORING OF GEOSPATIAL DATA

2020 ◽  
Vol 47 (3) ◽  
Author(s):  
Олександр Євгенович Волков ◽  
Юрій Петрович Богачук ◽  
Микола Миколайович Комар ◽  
Дмитро Олександрович Волошенюк
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Video Camera ◽  
Geospatial Data ◽  
Aerial Vehicle

Vision-Based Guidance for an Unmanned Aerial Vehicle Following a Moving Target

2011 ◽  
Vol 383-390 ◽  
pp. 7556-7562
Author(s):  
Tian Qin ◽  
Wan Chun Chen ◽  
Xiao Lan Xing
Keyword(s):  
Optical Flow ◽  
Unmanned Aerial Vehicle ◽  
Visual Information ◽  
Image Sequence ◽  
Video Camera ◽  
Control Law ◽  
Moving Target ◽  
Optical Position ◽  
Flow Algorithm ◽  
Aerial Vehicle

This paper presents a real-time optical flow algorithm for a vision-based guidance of an unmanned aerial vehicle (UAV). The optical flow algorithm detects a moving target, and obtains the optical position and optical flow vectors of the target from the image sequence. Then, a vision-based guidance of the UAV is designed to follow the moving target. Additionally, the control law of the imaging seeker uses visual information from the image sequence for target tracking. The method was tested on a 3 degree of freedom (3DOF) dual-rotor UAV with a video camera and the result proved the effectiveness of this method.

Use of an Unmanned Aerial Vehicle−Mounted Video Camera to Assess Feeding Behavior of Raramuri Criollo Cows

2016 ◽  
Vol 69 (5) ◽  
pp. 386-389 ◽  
Author(s):  
Shelemia Nyamuryekung’e ◽  
Andrés F. Cibils ◽  
Richard E. Estell ◽  
Alfredo L. Gonzalez
Keyword(s):  
Feeding Behavior ◽  
Unmanned Aerial Vehicle ◽  
Video Camera ◽  
Aerial Vehicle

Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine

GEOMATICA ◽  
2013 ◽  
Vol 67 (3) ◽  
pp. 173-180 ◽  
Author(s):  
T. McLeod ◽  
C. Samson ◽  
M. Labrie ◽  
K. Shehata ◽  
J. Mah ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Three Dimensional ◽  
Mining Industry ◽  
Point Clouds ◽  
Video Camera ◽  
Open Pit ◽  
Original Video ◽  
3D Point Clouds ◽  
Video Images ◽  
Aerial Vehicle

This project explored the feasibility of using video images acquired with an unmanned aerial vehicle (UAV) to obtain three-dimensional (3D) point clouds using structure from motion (SfM) software. Missions were flown using an Aeryon Scout: a lightweight, vertical take-off and landing quadrotor micro UAV with a miniature video camera. The initial mission captured urban scene images that were used to assess system performance while the main mission focused on rock walls where 3D images were used to successfully measure fracture orientations. Point clouds generated from this combination of technologies were sparse, but in the future, improvements in the resolution of original video images would cascade through the processing and improve the overall results. Such a system could have a multitude of applications in the mining industry, contributing to both safety and financial considerations.

scholarly journals Geomorphology and typing of the Lake Ladoga shores with the use of dron

2019 ◽  
pp. 25-37
Author(s):  
V. M. Anokhin ◽  
D. S. Dudakova ◽  
M. O. Dudakov
Keyword(s):  
Survey Data ◽  
Unmanned Aerial Vehicle ◽  
High Efficiency ◽  
Video Camera ◽  
Lake Ladoga ◽  
Fracture Systems ◽  
Ladoga Lake ◽  
Main Fracture ◽  
Aerial Vehicle ◽  
Northern Shore

The use of an unmanned aerial vehicle (UAV) with a photo-video camera in the shore of Lake Ladoga in 2015 showed its high efficiency for studying the geomorphology of the shores. A number of features of the morphology of the Ladoga shores in several areas have been revealed, including: the structure of the submerged coastal slope on shallow banks has been refined; the main fracture systems for a number of crystalline massifs on the northern shore of the lake have been determined. A new map of the Ladoga Lake shores types was created. The integration of the method of terrestrial and aerial geomorphological surveys with subsequent generalization of the results to space survey data is an effective addition to the method of geomorphological studies of the coasts.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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