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Design of artificial intelligence partially observable decision making tools for environmental monitoring using UAVs.

Unmanned aerial vehicles (UAVs) are revolutionising spatial sciences. Research project opportunities exist for designing and flight-testing onboard heuristic and probabilistic based, multi criteria decision-making methods. Using autonomous UAV's and taking into account resource (time or energy) constraints, the decision-making methods could assist:plant bio-securityvolatile organic compoundsair quality data acquisition tasks with autonomous UAVs.Exhaustive data collection by UAVs or by humans is difficult with the number of observations as well as the altitudes at which images are acquired been limited. This leads …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Autonomous UAV wildlife tracking using thermal imaging

The tracking of wildlife has been a key part of environmentalists and farmers work for many years. This project’s goal is to make tracking and locating animals a faster, simpler and more efficient process.This will be accomplished by automating the process through the use of Unmanned Arial Vehicles (UAVs). This research will explore the area of computer vision and its ability to pinpoint the location of wildlife and display them on a map for the convenience of the user.Watch the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Investigation of the use of UAS based hyperspectral imagery and photogrammetry for mapping key areas of the Great Barrier Reef and Ningaloo Reef

Unmanned aerial vehicles (UAVs) are revolutionising spatial sciences. Research opportunities exist for combining field-validated, image-derived spectra from a representative range of cover types and automated classification to determine levels for:benthic coverseveral abiotic and biotic seabed componentshard coral growth forms in dominant or mixed states of macro-algal communities.We aim to be able to go to a finer level of detail and demonstrate differences in bleached and non-bleached coral as well as tabulate coral and digitate, massive and soft corals.Ningaloo Reef captured …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

UAVs for precision agriculture and plant biosecurity

UAVs are revolutionising spatial sciences. Research project opportunities exist for combining field-validated, image-derived spectra from a representative range of projects in agriculture and plant biosecurity.More information about this research

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Wide field-of-view vision-based aircraft detection

Small-to-medium-sized fixed-wing unmanned aircraft vehicles (UAV) have an incredible range of potential applications in civilian operations including:disaster assessmentsearch-and-rescueenvironmental and infrastructure monitoringremote sensing in agricultureproduct delivery.The national airspace is heavily regulated with strict rules and safety layers designed to mitigate the risk of mid-air collisions. The final safety layer corresponds to human pilots using their eyes and judgment to see and avoid potential mid-air collision threats.Sense and avoid (SAA) refers to the implied regulatory requirement that UAVs be capable of sensing …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

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