The University of Queensland

Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registration

Bhandari, 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

Real-time 6-DOF pose estimation of known geometries in point cloud data

Bhandari, 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

LiDAR-stabilised GNSS-IMU platform pose tracking

D’Adamo, Timothy, Phillips, Tyson and McAree, Peter (2022). LiDAR-stabilised GNSS-IMU platform pose tracking. Sensors, 22 (6) 2248. doi: 10.3390/s22062248

Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud data

Phillips, 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

Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methods

D’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

An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments

Phillips, 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

When the dust settles: the four behaviors of LiDAR in the presence of fine airborne particulates

Phillips, 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

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

Phillips, 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

An Adaptive Structure Filter for Sensor Registration from Unstructured Terrain

Phillips, 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

An evaluation of ranging sensor performance for mining automation applications

Phillips, 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

An evaluation of ranging sensor performance for mining automation applications

Phillips, 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.

Vibration improves performance in granular jamming grippers

Mishra, Raghav, Phillips, Tyson, Delaney, Gary W. and Howard, David (2021). Vibration improves performance in granular jamming grippers.

Determining and verifying object pose from LiDAR measurements to support the perception needs of an autonomous excavator

Phillips, 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