Construction, modeling and control of an autonomous Unmanned Aerial Vehicle for target localization

Nagaty, Amr; Thibault, Carl; Seto, Mae; Trentini, Michael; Li, Howard

doi:10.1109/robio.2013.6739686

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Target identification means the ability to identify targets or other objects based on data obtained from sensors based on smart algorithms or methods that analyze that data, as well as to detect the target and identify its location. [12], [18].…”

Section: Target Detectionmentioning

confidence: 99%

An alternative technique to reduce time, cost and human effort during natural or manufactured disasters

Al-Janabi

Alkaim

Rahem

2022

IJRA

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The world suffers from a very large number of missing persons, ranging from about 250,000 to about one million people for various reasons in recent years. Therefore, the process of finding and tracing the missing persons as a result of a plane crash, fire or explosion in a particular area is a humanitarian and religious and national duty, and is one of the most important issues in our country. So, the idea of using a drone to find missing people was invested. We have designed system that collects real - time data and analyzes in a smart way and utilizes global positioning system (GPS) to locate people and track their impact. The idea of this work has been developed and implemented. They represent it in the form of a triangular problem, which included: First, h ow to locate the missing persons and send video broadcasts to a calculator or mobile device remotely. Analyze the data collected in real time, and send a report identifying the safe path that can be taken to reach the missing persons. The second stage is c ollection the data in the master computer and analysis it, while the final stage determines the coordinates of the location to the missing persons and the best possible way to reach of them.

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Section: Target Detectionmentioning

confidence: 99%

An alternative technique to reduce time, cost and human effort during natural or manufactured disasters

Al-Janabi

Alkaim

Rahem

2022

IJRA

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Finding and Monitoring Number of Living Entities through Unmanned Aeria

Salman

2022

Jour. Kufa Math. Comp.

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The rapid development of Unmanned Aerial Vehicles UAVs technology opens many new application areas. One of these applications is remote monitoring for living entities (Humans or Animals) within a known area for safety and protection purposes. UAVs are programmable to carry missions according to a specified algorithm. Their ability of movements and actions provide solutions with a reasonable cost. However, how a set of UAVs doing a mission behave cooperatively need to be tested and evaluated in a lab with simulation before moving to operation field. In this paper, a model for scanning determined area using a set of cooperative UAVs is developed and tested. The objective is reducing operation time. The set of affecting parameters is examined. The model is simulated using NetLogo agent-based simulation tool. The results of the experiment of a various settings are conducted.

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Construction, modeling and control of an autonomous Unmanned Aerial Vehicle for target localization

Cited by 2 publications

References 4 publications

An alternative technique to reduce time, cost and human effort during natural or manufactured disasters

An alternative technique to reduce time, cost and human effort during natural or manufactured disasters

Finding and Monitoring Number of Living Entities through Unmanned Aeria

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