Human Supervised Multirotor UAV System Design for Inspection Applications

Mohammad Shaqura; Khalid Alzuhair; Fadl Abdellatif; Jeff S. Shamma

doi:10.1109/SSRR.2018.8468648

Human Supervised Multirotor UAV System Design for Inspection Applications

Mohammad Shaqura, Khalid Alzuhair, Fadl Abdellatif, Jeff S. Shamma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Multirotor UAVs are widely used for aerial inspection applications where missions are accomplished either via manual or autonomous control. Human controlled UAVs require trained pilots which can be a barrier from using the technology for general inspection personnel. Fully autonomous navigation, which employs onboard sensing, planning and coverage algorithms, is effective but comes with the cost of development and operational complexities. A human supervised UAV system design is presented where a deployed aerial vehicle operates in semi-autonomous mode. An operator, who is equipped with a smart handheld laser pointer, gives the UAV global guiding directions to reach the inspection target. The UAV is equipped with onboard vision sensing for local planning and target identification in addition to video streaming or recording. System operation is validated in indoor fliaht tests.

Original language	English (US)
Title of host publication	2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538655726
DOIs	https://doi.org/10.1109/SSRR.2018.8468648
State	Published - Sep 19 2018
Event	2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018 - Philadelphia, United States Duration: Aug 6 2018 → Aug 8 2018

Publication series

Name	2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018

Conference

Conference	2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018
Country/Territory	United States
City	Philadelphia
Period	08/6/18 → 08/8/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Autonomous systems
Human-robot interaction
Inspection
Unmanned aerial vehicles

ASJC Scopus subject areas

Aerospace Engineering
Control and Optimization
Safety Research
Artificial Intelligence

Access to Document

10.1109/SSRR.2018.8468648

Cite this

Shaqura, M., Alzuhair, K., Abdellatif, F., & Shamma, J. S. (2018). Human Supervised Multirotor UAV System Design for Inspection Applications. In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018 Article 8468648 (2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSRR.2018.8468648

Shaqura, Mohammad ; Alzuhair, Khalid ; Abdellatif, Fadl et al. / Human Supervised Multirotor UAV System Design for Inspection Applications. 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018).

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title = "Human Supervised Multirotor UAV System Design for Inspection Applications",

abstract = "Multirotor UAVs are widely used for aerial inspection applications where missions are accomplished either via manual or autonomous control. Human controlled UAVs require trained pilots which can be a barrier from using the technology for general inspection personnel. Fully autonomous navigation, which employs onboard sensing, planning and coverage algorithms, is effective but comes with the cost of development and operational complexities. A human supervised UAV system design is presented where a deployed aerial vehicle operates in semi-autonomous mode. An operator, who is equipped with a smart handheld laser pointer, gives the UAV global guiding directions to reach the inspection target. The UAV is equipped with onboard vision sensing for local planning and target identification in addition to video streaming or recording. System operation is validated in indoor fliaht tests.",

keywords = "Autonomous systems, Human-robot interaction, Inspection, Unmanned aerial vehicles",

author = "Mohammad Shaqura and Khalid Alzuhair and Fadl Abdellatif and Shamma, {Jeff S.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018 ; Conference date: 06-08-2018 Through 08-08-2018",

year = "2018",

month = sep,

day = "19",

doi = "10.1109/SSRR.2018.8468648",

language = "English (US)",

series = "2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018",

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Shaqura, M, Alzuhair, K, Abdellatif, F & Shamma, JS 2018, Human Supervised Multirotor UAV System Design for Inspection Applications. in 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018., 8468648, 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018, Philadelphia, United States, 08/6/18. https://doi.org/10.1109/SSRR.2018.8468648

Human Supervised Multirotor UAV System Design for Inspection Applications. / Shaqura, Mohammad; Alzuhair, Khalid; Abdellatif, Fadl et al.
2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8468648 (2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Alzuhair, Khalid

AU - Abdellatif, Fadl

AU - Shamma, Jeff S.

PY - 2018/9/19

Y1 - 2018/9/19

N2 - Multirotor UAVs are widely used for aerial inspection applications where missions are accomplished either via manual or autonomous control. Human controlled UAVs require trained pilots which can be a barrier from using the technology for general inspection personnel. Fully autonomous navigation, which employs onboard sensing, planning and coverage algorithms, is effective but comes with the cost of development and operational complexities. A human supervised UAV system design is presented where a deployed aerial vehicle operates in semi-autonomous mode. An operator, who is equipped with a smart handheld laser pointer, gives the UAV global guiding directions to reach the inspection target. The UAV is equipped with onboard vision sensing for local planning and target identification in addition to video streaming or recording. System operation is validated in indoor fliaht tests.

AB - Multirotor UAVs are widely used for aerial inspection applications where missions are accomplished either via manual or autonomous control. Human controlled UAVs require trained pilots which can be a barrier from using the technology for general inspection personnel. Fully autonomous navigation, which employs onboard sensing, planning and coverage algorithms, is effective but comes with the cost of development and operational complexities. A human supervised UAV system design is presented where a deployed aerial vehicle operates in semi-autonomous mode. An operator, who is equipped with a smart handheld laser pointer, gives the UAV global guiding directions to reach the inspection target. The UAV is equipped with onboard vision sensing for local planning and target identification in addition to video streaming or recording. System operation is validated in indoor fliaht tests.

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KW - Human-robot interaction

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T3 - 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018

BT - 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018

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Shaqura M, Alzuhair K, Abdellatif F, Shamma JS. Human Supervised Multirotor UAV System Design for Inspection Applications. In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8468648. (2018 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2018). doi: 10.1109/SSRR.2018.8468648

Human Supervised Multirotor UAV System Design for Inspection Applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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