An evaluation of ranging sensor performance for mining automation applications. - Tyson Govan Phillips; Martin Hahn 004; P. Ross McAree (AIM, 2013)

An Adaptive Structure Filter for Sensor Registration from Unstructured Terrain. - Tyson Govan Phillips; Matthew E. Green; P. Ross McAree (J. Field Robotics, 2015)

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. - Tyson Govan Phillips; Matthew E. Green; P. Ross McAree (J. Field Robotics, 2016)

When the Dust Settles: The Four Behaviors of LiDAR in the Presence of Fine Airborne Particulates. - Tyson Govan Phillips; Nicky Guenther; P. Ross McAree (J. Field Robotics, 2017)

Registration of three-dimensional scanning LiDAR sensors: An evaluation of model-based and model-free methods. - Timothy Andrew D'Adamo; Tyson Govan Phillips; P. Ross McAree (J. Field Robotics, 2018)

An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments. - Tyson Govan Phillips; P. Ross McAree (J. Field Robotics, 2018)

Maximum Sum of Evidence - An Evidence-Based Solution to Object Pose Estimation in Point Cloud Data. - Tyson Govan Phillips; Timothy Andrew D'Adamo; Peter Ross McAree (Sensors, 2021)

LiDAR-Stabilised GNSS-IMU Platform Pose Tracking. - Timothy Andrew D'Adamo; Tyson Govan Phillips; Peter Ross McAree (Sensors, 2022)

Real-Time 6-DOF Pose Estimation of Known Geometries in Point Cloud Data. - Vedant Bhandari; Tyson Govan Phillips; Peter Ross McAree (Sensors, 2023)

Probabilistic Height Grid Terrain Mapping for Mining Shovels using LiDAR. - Vedant Bhandari; Jasmin James; Tyson Govan Phillips; P. Ross McAree (CoRR, 2024)

Moving Object Segmentation in Point Cloud Data using Hidden Markov Models. - Vedant Bhandari; Jasmin James; Tyson Govan Phillips; P. Ross McAree (CoRR, 2024)

Minimal configuration point cloud odometry and mapping. - Vedant Bhandari; Tyson Govan Phillips; Peter Ross McAree (Int. J. Robotics Res., 2024)