Abstract A novel procedure to eliminate blur in imagery captured by small unmanned aircraft is demonstrated. The whirling props and airflows often cause unwanted image blur due to the unstable platform from which they are captured. In multirotor aircraft these image artifacts often produce remote sensing data that is inferior to the imaging system capability. By eliminating the vibration of the host vehicle, the full potential of the instruments can be obtained, as demonstrated in imaging studies presented. To accomplish this an attachment system has been developed so that the props can be shut off in a perched configuration and the unwanted vibration will cease. This concept not only reduces the vibration levels, but also greatly prolongs the effective use of imaging or robotic systems. Typically, most of the power usage is for propulsion and not for payloads, therefore without the need for lift and maneuvering, the payload systems can operate for periods many times the flight operation duration. The dynamic performance of two aircraft is presented; first is a highly modified remote control helicopter clearly illustrating the concept and the second a custom built system in a small footprint enclosure with increased payload capacities for remote sensing and robotic equipment.
Eliminating Blur in Small Unmanned Aircraft Imaging Systems
2017-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
Eliminating Blur in Small Unmanned Aircraft Imaging Systems
British Library Conference Proceedings | 2017
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