Skip to menu Skip to content Skip to footer
Dr Tyson Phillips
Dr

Tyson Phillips

Email: 
Phone: 
+61 7 336 53587

Overview

Availability

Dr Tyson Phillips is:
Available for supervision

Qualifications

  • Doctor of Philosophy, The University of Queensland

Works

Search Professor Tyson Phillips’s works on UQ eSpace

14 works between 2012 and 2024

1 - 14 of 14 works

2024

Book Chapter

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

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

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

2021

Other Outputs

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.

Vibration improves performance in granular jamming grippers

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

Other Outputs

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

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

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

2013

Conference Publication

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

2012

Conference Publication

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.

An evaluation of ranging sensor performance for mining automation applications

Funding

Current funding

  • 2021 - 2024
    Electric Rope Shovel ("ERS") Operator Assist - Machine Self Protection
    Caterpillar Inc
    Open grant

Past funding

  • 2023
    Caterpillar LiDAR testing in dust/fog conditions
    Caterpillar of Australia Pty Ltd
    Open grant
  • 2023 - 2024
    Autonomous Stockpile Dozing: Quantifying Viability
    Australian Coal Association Research Program
    Open grant
  • 2021
    FMG Rail Mapper Handover
    Fortescue Metals Group Limited
    Open grant
  • 2020 - 2021
    FMG Port Hedland Train Terrain Project
    Fortescue Metals Group Limited
    Open grant
  • 2020 - 2022
    Articulated Truck Automation System (ATAS) Phase 3
    Caterpillar Inc
    Open grant
  • 2020
    Baraja Spectrum ScanTM dust and fog study
    Baraja Pty Ltd
    Open grant
  • 2019 - 2021
    Articulated Truck Automation System (ATAS) Phase Two
    Caterpillar Inc
    Open grant
  • 2018
    Automated Vehicle Tactical Planner (AVTP)
    Caterpillar of Australia Pty Ltd
    Open grant
  • 2018
    Mine Tec IMU Fusion
    Caterpillar Inc
    Open grant
  • 2017
    Vision guided robotic refuelling of haul trucks. Phase 4 - Site installation of the pose estimation system
    Mine Energy Solutions
    Open grant
  • 2017
    Vision guided robotic refuelling of haul trucks. Phase Three - Increasing functionality of the pose estimation system
    Mine Energy Solutions
    Open grant
  • 2016
    Vision guided robotic refuelling of haul trucks. Phase 2 - Pose System Implementation
    Mine Energy Solutions
    Open grant
  • 2016
    Vision guided robotic refuelling of haul trucks
    Mine Energy Solutions
    Open grant

Supervision

Availability

Dr Tyson Phillips is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

Completed supervision

Media

Enquiries

For media enquiries about Dr Tyson Phillips's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au