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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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2024 Journal Article Probabilistic height grid terrain mapping for mining shovels using LiDARBhandari, Vedant, James, Jasmin, Phillips, Tyson and McAree, P. Ross (2024). Probabilistic height grid terrain mapping for mining shovels using LiDAR. IFAC-PapersOnLine, 58 (22), 54-59. doi: 10.1016/j.ifacol.2024.09.290 |
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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 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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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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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 |
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2017 Journal Article Common factors in the implementation of new technology in the mining industryJob, Andrew Todd and McAree, Peter Ross (2017). Common factors in the implementation of new technology in the mining industry. AusIMM Bulletin (June 2017), 24-26. |
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2017 Journal Article When the dust settles: the four behaviors of LiDAR in the presence of fine airborne particulatesPhillips, Tyson Govan, Guenther, Nicky and Mcaree, Peter Ross (2017). When the dust settles: the four behaviors of LiDAR in the presence of fine airborne particulates. Journal of Field Robotics, 34 (5), 985-1009. doi: 10.1002/rob.21701 |
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2017 Journal Article How do ICP variants perform when used for scan matching terrain point clouds?Donoso, F. A., Austin, K. J. and McAree, P. R. (2017). How do ICP variants perform when used for scan matching terrain point clouds?. Robotics and Autonomous Systems, 87, 147-161. doi: 10.1016/j.robot.2016.10.011 |
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2016 Journal Article Is it what I think it is? Is it where I think it is? Using point-clouds for diagnostic testing of a digging assembly's form and pose for an autonomous mining shovelPhillips, T. G., Green, M. E. and McAree, P. R. (2016). Is it what I think it is? Is it where I think it is? Using point-clouds for diagnostic testing of a digging assembly's form and pose for an autonomous mining shovel. Journal of Field Robotics, 33 (7), 1013-1033. doi: 10.1002/rob.21643 |
