TY - GEN
T1 - Human Supervised Multirotor UAV System Design for Inspection Applications
AU - Shaqura, Mohammad
AU - Alzuhair, Khalid
AU - Abdel Latif, Fadl Hicham Fadl
AU - Shamma, Jeff S.
N1 - KAUST Repository Item: Exported on 2021-02-19
PY - 2018/9/20
Y1 - 2018/9/20
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.
UR - http://hdl.handle.net/10754/628850
UR - https://ieeexplore.ieee.org/document/8468648
UR - http://www.scopus.com/inward/record.url?scp=85055495620&partnerID=8YFLogxK
U2 - 10.1109/ssrr.2018.8468648
DO - 10.1109/ssrr.2018.8468648
M3 - Conference contribution
AN - SCOPUS:85055495620
SN - 9781538655726
BT - 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -