Plant Biosecurity
Research Themes: Remote Sensing, Enabling Technologies
Research Overview: This research project focused on developing enabling technologies to address challenges in the application of UAVs to aid assessment of plant biosecurity issues.
Research Overview: This research project focused on developing enabling technologies to address challenges in the application of UAVs to aid assessment of plant biosecurity issues.
Detect and Avoid
Research Themes: Enabling Technologies, Robust Autonomy Research
Research Overview: The objective of this project area was to investigate how computer vision technology could 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.
Research Overview: The objective of this project area was to investigate how computer vision technology could 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.
Active Projects
- Scoping Study into Ground Clutter Effect for a vision based collision avoidance system
ResQu
Research Themes: Remote Sensing, Cooperative Systems, Enabling Technologies, Airspace Integration, Robust Autonomy
Research Overview: This two-year project undertook 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. The research was co-funded by the Queensland Government Smart Futures Fund, Boeing Research & Technology Australia, Insitu Pacific Ltd, CSIRO and QUT.
Research Overview: This two-year project undertook 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. The research was co-funded by the Queensland Government Smart Futures Fund, Boeing Research & Technology Australia, Insitu Pacific Ltd, CSIRO and QUT.
Active Projects
- This multi-year collaborative research program ran from 2012-2014. Elements from this program have subsequently been incorporated into recommendations to the CASA UAS Standards Sub-Committee, a continuance of the Miconia detection system for Biosecurity Queensland, and ongoing research into vision-based collision avoidance algorithms.
Smart Skies
Research Themes: Remote Sensing, Enabling Technologies, Airspace Integration
Research Overview: This project explored the research and development of future technologies to support the efficient utilisation of airspace by both manned and unmanned aircraft. It focused upon the exploration and development of three key enabling aviation technologies:
Research Overview: This project explored the research and development of future technologies to support the efficient utilisation of airspace by both manned and unmanned aircraft. It focused upon the exploration and development of three key enabling aviation technologies:
- Automated separation management system capable of providing separation assurance in complex airspace environments
- Sense-and-act systems for manned and unmanned aircraft capable of collisions avoidance of dynamic and static obstacles
- Mobile aircraft tracking system utilising a cost-effective radar and dependent surveillance systems
Active Projects
- This multi-year collaborative research program ran from 2008-2010. Elements from this program were subsequently matured through Project ResQu.
Automated Emergency Landing
Research Themes: Enabling Technologies, Robust Autonomy
Research Overview: This research domain aimed to create an emergency landing system based on novel detection, control and planning algorithms that could be used in specific cases to improve a pilot’s visual situation awareness in emergency forced landing scenarios. 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. It built upon foundational research undertaken during Smart Skies and was expanded on during Project ResQu.
Research Overview: This research domain aimed to create an emergency landing system based on novel detection, control and planning algorithms that could be used in specific cases to improve a pilot’s visual situation awareness in emergency forced landing scenarios. 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. It built upon foundational research undertaken during Smart Skies and was expanded on during Project ResQu.
Active Projects
- There are currently no active projects in this domain
Infrastructure and Asset Management
Research Themes: Remote Sensing, Enabling Technologies, Robust Autonomy
Research Overview: This suite of projects focused upon precision guidance of aircraft over powerlines, asset and vegetation detection using LiDAR imagery, and detection and classification of tree species. The successive projects saw the development of a Flight Assist System (TRL7), and implementation and testing on a commercial fleet.
Research Overview: This suite of projects focused upon precision guidance of aircraft over powerlines, asset and vegetation detection using LiDAR imagery, and detection and classification of tree species. The successive projects saw the development of a Flight Assist System (TRL7), and implementation and testing on a commercial fleet.
Active Projects
- There are currently no active projects in this domain
- Project 6.07 Airborne Powerline Inspection Technology Improvements
- Project 9.07 Large-Scale Powerline Survey Flight Assist System
- Project 9.13 Technical and Market Analysis of Gimbal Sensor Systems
- Project 4.31 Enhanced flight Assist System (eFAS) for Automated Aerial Survey of Powerline Networks
- Project 9.27 Calibration and Commissioning of FAS onto Different Aircraft Type
- Project 9.35 FAS Technical Support
PhD and Masters Research
Research Themes: Remote Sensing, Cooperative Systems, Enabling Technologies, Airspace Integration, Robust Autonomy
Research Overview: PhD and Masters Research students studied a wide variety of research topics during their time with ARCAA.
Research Overview: PhD and Masters Research students studied a wide variety of research topics during their time with ARCAA.
Active Theses
- Development of an Unmanned Airborne Plume Assessing System (UAPAS) for in-situ data Collection and Characterisation of Combustion Source Emissions
- The Effects of Multiple Heterogeneous UAV Management through Capability and Autonomy Transparency
- Safe Navigation in Uncertain and Cluttered Environments for Unmanned Aircraft using Efficient Partially Observable Markov Decision Processes (POMDP)
- Development of a robust framework for an Outdoor Mobile Manipulation UAV (MM-UAV)
- Perception system for indoor and outdoor operation of compact quadrotor UAV
- A performance based framework for the use of RPAS/UAS in the onshore coal seam gas industry
- Using deep learning models for automatic image texture classification: application to vision-based automatic aircraft landing
- Measurement and communication uncertainty in automated aircraft separation management
- Automated scene understanding from aerial imagery
- Design Methodologies and Architecture of Hardware-based Evolutionary Algorithms for Aerospace Optimisation Applications on FPGAs
- Long-range stereo visual odometry for unmanned aerial vehicles
- Visual Control for Automated Aircraft Collision Avoidance Systems
- Visual Guidance for Fixed Wing Unmanned Aerial Vehicles using Feature Tracking: Application to Powerline Inspection
- Filter and Control Performance Bounds in the Presence of Model Uncertainties with Aerospace Applications
- Design, Modelling and Measurement of Hybrid Powerplant for Unmanned Aerial Vehicles (UAVs)
- Decision Support for the Safe Design and Operation of Unmanned Aircraft Systems
- Integrated Vision-Based Attitude Estimation
- Embedding Human Expert Cognition and Real-Time Trajectory Planning in Autonomous UAS
- Aerial Image Analysis Using Spiking Neural Networks with Application to Power Line Corridor Monitoring
- Path Planning, Guidance and Control for UAV Forced Landing
- Reactive Image-Based Collision Avoidance System for Unmanned Aircraft Systems
- Investigation of Methods for Increasing the Energy Efficiency on Unmanned Aerial Vehicles (UAVs)
- A hidden Markov model and relative entropy rate approach to vision-based dim target detection for UAV sense-and-avoid
- Multi-Objective Mission Flight Planning in Civil Unmanned Aerial Systems
- Investigation of MEMS Inertial Sensors and Aircraft Dynamic Models in Global Positioning System Integrity Monitoring for Approaches with Vertical Guidance
- Robust Adaptive Control of Rigid Spacecraft Attitude Manouevres
- Inverse Diffraction Propagation Applied to the Parabolic Wave Equation Model for Geolocation Applications
- Investigation of Fisheye Lenses for Small UAV Aerial Photography