Design and Implementation of Ground Station Software for UAV Swarm Considering Geo Fence

2021 ◽  
pp. 369-379
Author(s):  
Duo Qi ◽  
Xiao-long Liang ◽  
Zhe Li ◽  
Jia-qiang Zhang ◽  
Peng-fei Lei ◽  
...  
Author(s):  
Noah R. Kuntz ◽  
Paul Y. Oh

This paper presents the design and implementation of systems for autonomous tracking, payload pickup, and deployment of a 1/10th scale RC vehicle via a UAV helicopter. The tracking system uses a visual servoing algorithm and is tested using open loop velocity control of a three degree of freedom gantry system with a camera mounted via a pan-tilt unit on the end effecter. The pickup system uses vision to control the camera pan tilt unit as well as a second pan tilt unit with a hook mounted on the end of the arm. The ability of the pickup system to hook a target is tested by mounting it on the gantry while recorded helicopter velocities are played back by the gantry. A preliminary semi-autonomous deployment system is field tested, where a manually controlled RC car is transported by a UAV helicopter under computer control that is manually directed to GPS waypoints using a ground station.


Author(s):  
Mashrafi Alam Kajol ◽  
Md Raduanul Alam Riad ◽  
Maliha Kabir ◽  
A. A. M. Shah Sadman ◽  
Md Hossam-E-Haider

2018 ◽  
Vol 3 (1) ◽  
pp. 963
Author(s):  
Fernando X. Arias ◽  
Maytee Zambrano

When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of precipitation patterns in an area with a high risk of flooding, the current document describes the design and implementation of a neural-network-based system as a potential solution. With the use of TRMM satellite data, and ground station flow measurements in the Juan Díaz river, two models are developed for the estimation of the behavior of these magnitudes: one for estimating precipitation levels based on time, and one that estimates the flow of the river as a function of precipitation.Keywords: modeling, estimation, precipitation, flow, river.


2017 ◽  
Vol 9 (1) ◽  
pp. 92-104
Author(s):  
Ilia Benson ◽  
Adam Kaplan ◽  
James Flynn ◽  
Sharlene Katz

We describe the design and implementation of a complete flight-software operating system (OS) for a high-performance CubeSat carrying a third-party payload. This CubeSat's mission is to carry out research experiments on this payload while in low earth orbit. These experiments may be specified and prepared on the ground while the CubeSat is already in flight, and later uploaded via communication link. Experimental results collected by the CubeSat may likewise be downloaded to the ground. The CubeSat must collect and respond to sensor telemetry every second, and respond to ground communication on demand. To survive an adversarial space environment, the CubeSat OS is implemented as a deterministic state machine, storing state in a fault tolerant global memory structure. We validate our system via an end to end test of the CubeSat with its ground station, and demonstrate its capability to tolerate and even actively mitigate potential faults resulting from space radiation.


2013 ◽  
Vol 336-338 ◽  
pp. 1361-1365
Author(s):  
Xing Zheng ◽  
Gu Chang Wang ◽  
He Yang ◽  
Hong Xiang Liu

UAV visual simulation training system is a vital part of the UAV simulation training system. It is made up of simulation models for UAV and airborne platform mathematical, UAV visual and ground-station control system. It prevents a realistic virtual environment for UAV operator by simulating UAV flight control law and the actual flight environments. In order to train operational level, test weapons and validate tactical thinking economically and efficiently. This paper prevented the function, architecture, hardware deployment, running conditions and realization of real simulation module.


2015 ◽  
Vol 24 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Stephen N. Calculator

Purpose To provide an overview of communication characteristics exhibited by individuals with Angelman Syndrome (AS) and special considerations associated with the design and implementation of augmentative and alternative communication (AAC) programs. Method Results of recent studies exploring individuals' uses of AAC are reviewed, with particular emphasis on factors related to individuals' acceptance and successful uses of AAC systems. Results Not applicable Conclusion Despite their inconsistent access to practices previously found to foster individuals' acceptance of AAC systems, individuals with AS demonstrate the ability to use AAC systems, including high-tech AAC devices, successfully.


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