A Forest Fire Identification Method for Unmanned Aerial Vehicle Monitoring Video Images*

2018 ◽  
Author(s):  
Wenzhao Feng ◽  
Chunhe Hu ◽  
Junguo Zhang ◽  
Hao Yan
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Forest Fire ◽  
Vehicle Monitoring ◽  
Identification Method ◽  
Video Images ◽  
Aerial Vehicle

scholarly journals Analysis of an Unmanned Aerial Vehicle Monitoring System for Resurveying of Shipping Routes

2016 ◽  
Vol 3 (1) ◽  
pp. 102-111
Author(s):  
Aleksandrs Urbahs ◽  
Rima Mickevičienė ◽  
Vasilij Djačkov ◽  
Kristīne Carjova ◽  
Valdas Jankūnas ◽  
...  
Keyword(s):  
Monitoring System ◽  
Unmanned Aerial Vehicle ◽  
Survey Methods ◽  
Environment Monitoring ◽  
Vehicle Monitoring ◽  
Hydrographic Survey ◽  
Survey System ◽  
Aerial Vehicle ◽  
Security Operations ◽  
Marine Safety

Abstract The paper gives brief description of the conventional and innovative hydrography survey methods and constraints connected with the realization. Proposed hydrographic survey system based on the use of Unmanned Aerial and Maritime systems provides functionality to conduct hydrographic measurements and environment monitoring. System can be easily adapted to fulfil marine safety and security operations, e.g. intrusion threat monitoring, hazardous pollutions monitoring and prevention operations, icing conditions monitoring.

A Novel Positioning Module and Fusion Algorithm for Unmanned Aerial Vehicle Monitoring

2021 ◽  
pp. 1-1
Author(s):  
Huang Bohao ◽  
Feng Pingfa ◽  
Zhang Jianfu ◽  
Yu Dingwen ◽  
Wu Zhijun
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Fusion Algorithm ◽  
Vehicle Monitoring ◽  
Aerial Vehicle

Creation of computer facilities for controlling an autonomous aircraft with the use of remote cloud calculations

2021 ◽  
Vol 3 (1) ◽  
pp. 106-113
Author(s):  
V Chyhin ◽  
Keyword(s):  
Operating System ◽  
Unmanned Aerial Vehicle ◽  
Personal Computer ◽  
Computer Control ◽  
Control Panel ◽  
Computer Control System ◽  
Control Programs ◽  
System A ◽  
Video Images ◽  
Aerial Vehicle

The possibility of creating a computer control system for an unmanned aerial vehicle using remote cloud computing according to predefined scenarios from the user's desktop is investigated. For this, an experimental setup was created, which includes a quadcopter, a personal computer with the Windows operating system, an on-board computer Raspberry-3 with the Linux operating system, a Pi Camera V2 camcorder, and a Pixhawk autopilot. To model the control and transmission of video images the own control programs and photo pursuit on a computer Raspberry-3 in Python are recorded. Based on the obtained results, a model of unmanned aerial vehicle control from the desktop of the user's personal computer via the on-board computer without the use of a standard control panel and operator is proposed.

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