This research will extend the aircraft path planning, data capture and flight assist concepts to optimise flight management and planning for large scale infrastructure aerial surveys.
The outcome will be a capability that can be applied to both highly automated manned and unmanned aircraft to reduce costs and optimise data capture.
The Real-time Control-Information Extraction program saw a series of powerline algorithms evaluated and a candidate algorithm selected. Testing of this algorithm on video and image sequences resulted in a performance metric of two frames/second. Version one of the detection algorithm has now been integrated into the aircraft software architecture, with continuing work being undertaken to improve the frame-rate.
The Real-time non-GPS/INS Control approached completion, with a final field validation and report to close out the activity. Similarly, the in-flight assessment of data quality from the Sensor Feedback and Data Quality program also approached completion. Final integration with the eFAS software framework is required to close this activity.
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