國立虎尾科技大學 |

Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model./
Author:	Zhang, Tong.
Description:	1 online resource (78 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Subject:	Robotics. -
Online resource:	click for full text (PQDT)
ISBN:	9780355491203

Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model.
Zhang, Tong.

Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model. - 1 online resource (78 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2017.

Includes bibliographical references

This thesis assesses the feasibility of applying coverage model to the problem of using unmanned aerial vehicles (UAVs) for aerial surveillances. The purpose of aerial surveillance is using sensors to cover the task area to obtain the information regarding to this area, such as environmental study. Comparing to static sensors, business purposes UAVs have higher mobility. Since static sensors have limited sensing range, it is not possible to use them to cover the task area. UAVs with sensors onboard can be used for surveillance and save the data to obtain more detailed information of the task area. The data retrieved by the sensors can be used for developing autonomous control algorithms for navigation of the UAV. However, there are some inevitable factors that shortens the flight time of the UAV. For example, considering the maximum payload of the UAV, the battery of UAV can usually last at most 30 minutes since it cannot be very large. It is very important to improve the efficiency of UAV surveillance by pre-designing the flight path for one UAVs or deployment positions for multiple UAVs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355491203Subjects--Topical Terms:

561941
Robotics.
Index Terms--Genre/Form:

554714
Electronic books.

Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model.
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245 1 0 $a Deployment of Real Time UAV Aerial Surveillance with Coverage Strength Model.
264 0 $c 2017
300 $a 1 online resource (78 pages)
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500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Adviser: Xiang Chen.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2017.
504 $a Includes bibliographical references
520 $a This thesis assesses the feasibility of applying coverage model to the problem of using unmanned aerial vehicles (UAVs) for aerial surveillances. The purpose of aerial surveillance is using sensors to cover the task area to obtain the information regarding to this area, such as environmental study. Comparing to static sensors, business purposes UAVs have higher mobility. Since static sensors have limited sensing range, it is not possible to use them to cover the task area. UAVs with sensors onboard can be used for surveillance and save the data to obtain more detailed information of the task area. The data retrieved by the sensors can be used for developing autonomous control algorithms for navigation of the UAV. However, there are some inevitable factors that shortens the flight time of the UAV. For example, considering the maximum payload of the UAV, the battery of UAV can usually last at most 30 minutes since it cannot be very large. It is very important to improve the efficiency of UAV surveillance by pre-designing the flight path for one UAVs or deployment positions for multiple UAVs.
520 $a The coverage strength model converts parameter of sensors into geometrical constraints, which allows using mathematical equations to represent the sensor and using convex optimization to find deployment of multiple sensors to cover the task area with best visual coverage and image quality. The coverage model consists of three different models: sensor model, environmental model, and task model. The convex function is constructed based on the three models and optimized to the minimum to get the best deployment.
520 $a It is also possible to use autonomous UAV in this application. Thus, the controlling algorithm is also a part of this thesis. Different from application of indoor UAVs, only GPS can be used for positioning and navigating the movement of the UAV. A black box control only based on GPS is presented.
520 $a The contributions of this thesis are in two perspectives. First, it applies the coverage strength model to mobile sensors, UAVs. It improves the efficiency of using UAVs to survey the task area. With the method applied, it may need less hardware requirements and time to achieve good result. Second, it is an autonomous UAV that is built for this application. Therefore, every detail of building this drone is introduced in this application including all hardware and software details.
520 $a In the following parts of the thesis, the coverage strength model is introduced. The instruments and the controlling algorithm of the UAV are presented. The experimental procedure and the result of applying the coverage strength model are shown as well.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Robotics. $3 561941
650 4 $a Aerospace engineering. $3 686400
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0771
690 $a 0538
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Windsor (Canada). $b ELECTRICAL ENGINEERING. $3 845693
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10640200 $z click for full text (PQDT)