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2024

Journal Article

Minimal configuration point cloud odometry and mapping

Bhandari, 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

Minimal configuration point cloud odometry and mapping

2024

Journal Article

Probabilistic height grid terrain mapping for mining shovels using LiDAR

Bhandari, 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

Probabilistic height grid terrain mapping for mining shovels using LiDAR

2023

Journal Article

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

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

2022

Journal Article

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, 2248. doi: 10.3390/s22062248

LiDAR-stabilised GNSS-IMU platform pose tracking

2021

Journal Article

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

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

2018

Journal Article

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

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

2018

Journal Article

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

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

2017

Journal Article

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

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

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 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

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

2015

Journal Article

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 Adaptive Structure Filter for Sensor Registration from Unstructured Terrain