This work was evaluated in the context of a landing site detection and guidance problems, and proven on ARCAA's fleet of manned and unmanned aircraft.
UAS will assist in the examination of myrtle rust impacts by allowing the evaluation of individual structure (clustering of spores on a leaf) and changes in their spatiotemporal dynamics.
The aim of the group was to develop the concepts necessary for the safe and efficient operation of complex interacting human-machine systems in a broad range of applications.
Project ResQu This two-year project, co-funded through the Queensland Government Smart Futures Fund, Boeing Research & Technology Australia, Insitu Pacific Ltd., CSIRO and QUT undertook the safety studies and developed the automated safety technologies necessary to enable the timely approval of UA for disaster recovery, as well as routinely delivering benefits through surveys for biosecurity and resource management.
Whilst UA are yet to enter civil airspace on a routine basis, they are becoming more prevalent as they move beyond the military sphere into the realm of government, private sector and commercial operators.
Unlike other solar UAVs, the Green Falcon is designed to be cost-effective, light weight and easily hand-launched with minimum maintenance requirements.
The design supports improved endurance capabilities compared with other UAVs in the same class, which will allow the Green Falcon to provide rapid deployment and will be particularly useful in plant biosecurity, gas sensing, search and rescue or fire monitoring missions.
The objective of the project is to investigate how computer vision technology can be used to meet and exceed the performance of human pilots in detecting potential aircraft collisions, thereby improving the safety of the world’s aviation fleets.
Working with the CRC for Spatial Information and Ergon Energy, previous research had already demonstrated the essential importance of basic automation technologies in such large-scale inspection tasks.
To commercialise the research outcomes, Ergon decided to launch the Remote Observation, Automated Modelling & Economic Simulation (ROAMES) project of which FAS is an essential component.
The technology will allow for earlier detection of harmful plant pest or disease incursions in difficult areas and provide efficient and effective airborne surveillance.