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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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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 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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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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2021 Other Outputs Vibration improves performance in granular jamming grippersMishra, Raghav, Phillips, Tyson, Delaney, Gary W. and Howard, David (2021). Vibration improves performance in granular jamming grippers. |
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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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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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2016 Other Outputs Determining and verifying object pose from LiDAR measurements to support the perception needs of an autonomous excavatorPhillips, Tyson (2016). Determining and verifying object pose from LiDAR measurements to support the perception needs of an autonomous excavator. PhD Thesis, School of Mechanical and Mining Engineering, The University of Queensland. doi: 10.14264/uql.2016.787 |
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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 |
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2015 Journal Article An Adaptive Structure Filter for Sensor Registration from Unstructured TerrainPhillips, T. G., Green, M. E. and McAree, P. R. (2015). An Adaptive Structure Filter for Sensor Registration from Unstructured Terrain. Journal of Field Robotics, 32 (5), 748-774. doi: 10.1002/rob.21562 |
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2013 Conference Publication An evaluation of ranging sensor performance for mining automation applicationsPhillips, Tyson, Hahn, Martin and McAree, Ross (2013). An evaluation of ranging sensor performance for mining automation applications. IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, Wollongong, NSW, Australia, 9-12 July 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/AIM.2013.6584271 |
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2012 Conference Publication An evaluation of ranging sensor performance for mining automation applicationsPhillips, Tyson, Hahn, Martin and McAree, Ross (2012). An evaluation of ranging sensor performance for mining automation applications. 2012 Australian Mining Technology Conference, Perth, WA, Australia, 8-10 October 2012. Brisbane, Qld., Australia: Colourwise Digital. |
