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
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
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
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
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
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.
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
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
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
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
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
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
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
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.
Funding
Current funding
Supervision
Availability
- Dr Tyson Phillips is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Mapping Unstructured Environments for Real-Time Pose Estimation using Multimodal Perception to Explore and Provide Trusted Autonomy
Principal Advisor
Other advisors: Professor Ross McAree, Dr Jasmin Martin
-
Doctor Philosophy
Development of a smart spreader system
Associate Advisor
Other advisors: Dr Micah Nehring, Professor Ross McAree, Professor Peter Knights
-
Doctor Philosophy
ADVANCED AUTONOMY FOR UNMANNED VEHICLES
Associate Advisor
Other advisors: Professor Ross McAree
Completed supervision
-
2024
Doctor Philosophy
Building and maintaining real-time terrain maps for autonomous bulldozer mining
Associate Advisor
Other advisors: Dr Kevin Austin, Professor Ross McAree
-
2021
Master Philosophy
Analysis of bench excavation strategies and use case scenarios for shovel/hopper interaction in autonomous fully mobile in-pit crushing conveying systems
Associate Advisor
Other advisors: Associate Professor Mehmet Kizil, Dr Micah Nehring, Professor Peter Knights
Media
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