Tyson Govan Phillips

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Minimal configuration point cloud odometry and mapping.
Int. J. Robotics Res.
Vedant Bhandari, Tyson Govan Phillips, Peter Ross McAree
2024 J jnl
Moving Object Segmentation in Point Cloud Data using Hidden Markov Models.
CoRR
Vedant Bhandari, Jasmin James, Tyson Govan Phillips, P. Ross McAree
2024 J jnl
Probabilistic Height Grid Terrain Mapping for Mining Shovels using LiDAR.
CoRR
Vedant Bhandari, Jasmin James, Tyson Govan Phillips, P. Ross McAree
2023 J jnl
Real-Time 6-DOF Pose Estimation of Known Geometries in Point Cloud Data.
Sensors
Vedant Bhandari, Tyson Govan Phillips, Peter Ross McAree
2022 J jnl
LiDAR-Stabilised GNSS-IMU Platform Pose Tracking.
Sensors
Timothy Andrew D'Adamo, Tyson Govan Phillips, Peter Ross McAree
2021 J jnl
Maximum Sum of Evidence - An Evidence-Based Solution to Object Pose Estimation in Point Cloud Data.
Sensors
Tyson Govan Phillips, Timothy Andrew D'Adamo, Peter Ross McAree
2018 J jnl
An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments.
J. Field Robotics
Tyson Govan Phillips, P. Ross McAree
2018 J jnl
Registration of three-dimensional scanning LiDAR sensors: An evaluation of model-based and model-free methods.
J. Field Robotics
Timothy Andrew D'Adamo, Tyson Govan Phillips, P. Ross McAree
2017 J jnl
When the Dust Settles: The Four Behaviors of LiDAR in the Presence of Fine Airborne Particulates.
J. Field Robotics
Tyson Govan Phillips, Nicky Guenther, P. Ross McAree
2016 J jnl
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.
J. Field Robotics
Tyson Govan Phillips, Matthew E. Green, P. Ross McAree
2015 J jnl
An Adaptive Structure Filter for Sensor Registration from Unstructured Terrain.
J. Field Robotics
Tyson Govan Phillips, Matthew E. Green, P. Ross McAree
2013 — conf
An evaluation of ranging sensor performance for mining automation applications.
AIM
Tyson Govan Phillips, Martin Hahn, P. Ross McAree