Realistic simulation of multiple UAVs collaborative inspection of large outdoor structure
Algorithm testing for unmanned aircraft requires significant resource requirements. Simulators are solutions to the resource-demanding methods for evaluating algorithms before they are deployed on a real unmanned aerial vehicle (UAV). They help users to reduce time and increase repeatability d...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/157830 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Algorithm testing for unmanned aircraft requires significant resource requirements.
Simulators are solutions to the resource-demanding methods for evaluating algorithms before
they are deployed on a real unmanned aerial vehicle (UAV). They help users to reduce time
and increase repeatability during simulations. Despite the abundance of simulators on the
market, they are fragmented in meeting the user requirements to perform algorithm testing.
This project aims to embed virtual perception sensors in a monocular visual-inertial system
(VINS) UAV to inspect virtual outdoor structures during a real flight. The proposed simulator
should satisfy the following requirements: (1) a realistic environment containing reliable
sensors output and the ability to construct new scenarios for testing, (2) fast and efficient
computational processing, and (3) achieve accurate state estimation during simulation. To
develop the simulator, a rendering engine is implemented to allow users to create realistic
environments for their simulation and a state estimator will be implemented to optimize the
visual inertia odometry process for state estimation. To test the performance of the simulator,
a motion tracking system was implemented to track the monocular visual-inertial UAV ground
truth to compare with the visual inertia odometry generated. The primary contributions of this
study, in comparison to previous simulators, are (1) establishing sensor data connection; (2)
simulating visual perception sensors to physical UAV; and (3) successful performing
inspection tasks with physical UAV. |
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