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2024 Book Chapter Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registrationBhandari, Vedant, Phillips, Tyson and McAree, Ross (2024). Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registration. Point cloud generation and its applications. (pp. 1-23) edited by Cumhur Şahin. London, United Kingdom: IntechOpen. doi: 10.5772/intechopen.1004467 |
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2024 Journal Article Minimal configuration point cloud odometry and mappingBhandari, Vedant, Phillips, Tyson Govan and McAree, Peter Ross (2024). Minimal configuration point cloud odometry and mapping. The International Journal of Robotics Research, 43 (11), 1831-1850. doi: 10.1177/02783649241235325 |
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2023 Journal Article Real-time 6-DOF pose estimation of known geometries in point cloud dataBhandari, Vedant, Phillips, Tyson Govan and McAree, Peter Ross (2023). Real-time 6-DOF pose estimation of known geometries in point cloud data. Sensors, 23 (6) 3085, 1-25. doi: 10.3390/s23063085 |
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2022 Journal Article Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?Choros, Krystian A., Job, Andrew T., Edgar, Michael L., Austin, Kevin J. and McAree, Peter Ross (2022). Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?. Sensors, 22 (7) 2687, 2687. doi: 10.3390/s22072687 |
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2022 Other Outputs Ore Grade DiscriminationChoros, Krystian and McAree, Ross (2022). Ore Grade Discrimination. The University of Queensland. (Dataset) doi: 10.48610/42d4d33 |
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2022 Journal Article LiDAR-stabilised GNSS-IMU platform pose trackingD’Adamo, Timothy, Phillips, Tyson and McAree, Peter (2022). LiDAR-stabilised GNSS-IMU platform pose tracking. Sensors, 22 (6) 2248, 2248. doi: 10.3390/s22062248 |
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2022 Journal Article How do operators and environment conditions influence the productivity of a large mining excavator?Bettens, S. P., Siegrist, P. M. and McAree, P. R. (2022). How do operators and environment conditions influence the productivity of a large mining excavator?. International Journal of Mining and Mineral Engineering, 13 (1), 18-36. doi: 10.1504/IJMME.2022.124143 |
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2021 Journal Article Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud dataPhillips, Tyson, D’Adamo, Tim and McAree, Peter (2021). Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud data. Sensors, 21 (19) 6473, 6473. doi: 10.3390/s21196473 |
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2020 Journal Article A relative entropy based feature selection framework for asset data in predictive maintenanceAremu, Oluseun Omotola, Cody, Roya Allison, Hyland-Wood, David and McAree, Peter Ross (2020). A relative entropy based feature selection framework for asset data in predictive maintenance. Computers and Industrial Engineering, 145 106536, 106536. doi: 10.1016/j.cie.2020.106536 |
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2019 Journal Article A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine dataAremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data. Reliability Engineering and System Safety, 195 106706, 1-18. doi: 10.1016/j.ress.2019.106706 |
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2019 Journal Article A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset dataAremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data. Advanced Engineering Informatics, 40, 121-134. doi: 10.1016/j.aei.2019.03.003 |
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2019 Conference Publication Machine learning-based embedding for discontinuous time series machine dataAremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). Machine learning-based embedding for discontinuous time series machine data. 17th IEEE International Conference on Industrial Informatics, INDIN'19, Helsinki, Finland, 22-25 July 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/INDIN41052.2019.8972020 |
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2019 Conference Publication Kullback-Leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systemsAremu, Oluseun Omotola, O'Reilly, Darren O., Hyland-Wood, David and McAree, Peter Ross (2019). Kullback-Leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systems. 17th IEEE International Conference on Industrial Informatics, INDIN'19, Helsinki-Espoo, Finland, 23-25 July 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/INDIN41052.2019.8972069 |
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2018 Journal Article Mining automation: enhancing precisionRoss McAree (2018). Mining automation: enhancing precision. AusIMM Bulletin (Dec 2018), 48-51. |
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2018 Journal Article Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methodsD’Adamo, Timothy Andrew, Phillips, Tyson Govan and McAree, Peter Ross (2018). Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methods. Journal of Field Robotics, 35 (7), 1182-1200. doi: 10.1002/rob.21811 |
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2018 Journal Article An evidence-based approach to object pose estimation from LiDAR measurements in challenging environmentsPhillips, T. G. and Mcaree, P. R. (2018). An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments. Journal of Field Robotics, 35 (6), 921-936. doi: 10.1002/rob.21788 |
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2018 Journal Article Mining automation: Enhancing precisionMcAree, Ross (2018). Mining automation: Enhancing precision. AusIMM Bulletin (6), 48-51. |
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2018 Conference Publication Structuring data for intelligent predictive maintenance in asset managementAremu, Oluseun Omotola, Salvador Palau, Adrià, Hyland-Wood, David, Parlikad, Ajith Kumar and McAree, Peter Ross (2018). Structuring data for intelligent predictive maintenance in asset management. 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, Italy, 11-13 June 2018. Laxenburg, Austria: International Federation of Automatic Control. doi: 10.1016/j.ifacol.2018.08.370 |
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2017 Journal Article Convergence properties of the Kalman inverse filterPetschel, B. S., Naveh, K. Soltani and McAree, P. R. (2017). Convergence properties of the Kalman inverse filter. ASME Journal of Dynamic Systems, Measurement, and Control, 140 (6) 061001, 061001. doi: 10.1115/1.4038267 |
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2017 Journal Article Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrainDonoso, F. A., Austin, K. J. and McAree, P. R. (2017). Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrain. Robotics and Autonomous Systems, 95, 117-128. doi: 10.1016/j.robot.2017.05.003 |
