Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance

2012 ◽  
Keyword(s):  
Ground Target ◽  
Air System ◽  
Unmanned Air System ◽  
Video Guidance ◽  
Motion Video

Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance

2016 ◽  
Vol 13 (1) ◽  
pp. 10-26 ◽  
Author(s):  
John Valasek ◽  
Kenton Kirkpatrick ◽  
James May ◽  
Joshua Harris
Keyword(s):  
Ground Target ◽  
Air System ◽  
Unmanned Air System ◽  
Video Guidance ◽  
Motion Video

scholarly journals An unmanned aircraft system for maritime operations

2018 ◽  
Vol 15 (4) ◽  
pp. 172988141878633 ◽  
Author(s):  
Mario Monteiro Marques ◽  
Victor Lobo ◽  
R Batista ◽  
J Oliveira ◽  
A Pedro Aguiar ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Situational Awareness ◽  
Traffic Monitoring ◽  
Unmanned Aircraft ◽  
Automatic Identification ◽  
Identification System ◽  
Time Operation ◽  
Air System ◽  
Unmanned Air System ◽  
Aircraft System

Unmanned air systems are becoming ever more important in modern societies but raise a number of unresolved problems. There are legal issues with the operation of these vehicles in nonsegregated airspace, and a pressing requirement to solve these issues is the development and testing of reliable and safe mechanisms to avoid collision in flight. In this article, we describe a sense and avoid subsystem developed for a maritime patrol unmanned air system. The article starts with a description of the unmanned air system, that was developed specifically for maritime patrol operations, and proceeds with a discussion of possible ways to guarantee that the unmanned air system does not collide with other flying objects. In the system developed, the position of the unmanned air system is obtained by the global positioning system and that of other flying objects is reported via a data link with a ground control station. This assumes that the detection of those flying objects is done by a radar in the ground or by self-reporting via a traffic monitoring system (such as automatic identification system). The algorithm developed is based on game theory. The approach is to handle both the procedures, threat detection phase and collision avoidance maneuver, in a unified fashion, where the optimal command for each possible relative attitude of the obstacle is computed off-line, therefore requiring low processing power for real-time operation. This work was done under the research project named SEAGULL that aims to improve maritime situational awareness using fleets of unmanned air system, where collision avoidance becomes a major concern.

Advancing the Standards for Unmanned Air System Communications, Navigation and Surveillance

2019 ◽  
Author(s):  
Denise S. Ponchak ◽  
Fred L. Templin ◽  
Greg Sheffield ◽  
Pedro Taboso ◽  
Raj Jain
Keyword(s):  
Air System ◽  
Unmanned Air System

Experimental aeromagnetic survey using an unmanned air system

2016 ◽  
Vol 35 (3) ◽  
pp. 270-273 ◽  
Author(s):  
Alan Wood ◽  
Ian Cook ◽  
Buddy Doyle ◽  
Michael Cunningham ◽  
Claire Samson
Keyword(s):  
Aeromagnetic Survey ◽  
Air System ◽  
Unmanned Air System

scholarly journals Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery

2017 ◽  
Vol 50 (1) ◽  
pp. 564-576 ◽  
Author(s):  
Roshan Pande-Chhetri ◽  
Amr Abd-Elrahman ◽  
Tao Liu ◽  
Jon Morton ◽  
Victor L. Wilhelm
Keyword(s):  
High Resolution ◽  
Wetland Vegetation ◽  
Object Based ◽  
Air System ◽  
Unmanned Air System ◽  
Very High
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