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ORCIDMitch Bryson
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2020 – today
- 2023
[j20]Ahalya Ravendran
, Mitch Bryson, Donald G. Dansereau:
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction. IEEE Robotics Autom. Lett. 8(12): 8438-8445 (2023)- [j19]Feiyu Wang, Mitch Bryson:
Tree Segmentation and Parameter Measurement from Point Clouds Using Deep and Handcrafted Features. Remote. Sens. 15(4): 1086 (2023) - [j18]Mitch Bryson, Feiyu Wang, James Allworth:
Using Synthetic Tree Data in Deep Learning-Based Tree Segmentation Using LiDAR Point Clouds. Remote. Sens. 15(9): 2380 (2023) - 2022
- [j17]Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau:
Burst Imaging for Light-Constrained Structure-From-Motion. IEEE Robotics Autom. Lett. 7(2): 1040-1047 (2022) - [i7]Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau:
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction. CoRR abs/2209.09470 (2022) - 2021
- [j16]Fred Westling, James Patrick Underwood, Mitch Bryson:
Graph-based methods for analyzing orchard tree structure using noisy point cloud data. Comput. Electron. Agric. 187: 106270 (2021) - [j15]Fred Westling, James Patrick Underwood, Mitch Bryson:
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees. Comput. Electron. Agric. 187: 106274 (2021) - [j14]Fred Westling, Mitch Bryson, James Patrick Underwood:
SimTreeLS: Simulating aerial and terrestrial laser scans of trees. Comput. Electron. Agric. 187: 106277 (2021) - [i6]Fredrik Westling, James Patrick Underwood, Mitch Bryson:
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees. CoRR abs/2102.03700 (2021) - [i5]Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau:
Burst Imaging for Light-Constrained Structure-From-Motion. CoRR abs/2108.09895 (2021) - 2020
- [j13]Lloyd Windrim, Mitch Bryson:
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. Remote. Sens. 12(9): 1469 (2020) - [j12]Javier Pérez, Mitch Bryson, Stefan B. Williams, Pedro J. Sanz:
Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning. Sensors 20(16): 4580 (2020) - [j11]Lloyd Windrim, Angus J. Carnegie, Murray Webster, Mitch Bryson:
Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2554-2572 (2020) - [i4]James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson:
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning. CoRR abs/2004.12270 (2020) - [i3]Fredrik Westling, James Patrick Underwood, Mitch Bryson:
Graph-based methods for analyzing orchard tree structure using noisy point cloud data. CoRR abs/2009.13727 (2020) - [i2]Fredrik Westling, Mitch Bryson, James Patrick Underwood:
SimTreeLS: Simulating aerial and terrestrial laser scans of trees. CoRR abs/2011.11954 (2020)
2010 – 2019
- 2019
- [j10]Lloyd Windrim, Mitch Bryson, Michael McLean, Jeremy Randle, Christine Stone:
Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. Remote. Sens. 11(6): 733 (2019) - [c15]Lloyd Windrim, Mitch Bryson:
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. IROS 2019: 3898-3904 - 2018
- [j9]Daniel L. Bongiorno, Mitch Bryson, Tom C. L. Bridge, Donald G. Dansereau, Stefan B. Williams:
Coregistered Hyperspectral and Stereo Image Seafloor Mapping from an Autonomous Underwater Vehicle. J. Field Robotics 35(3): 312-329 (2018) - [c14]Vigil Varghese, Mitch Bryson, Oscar Pizarro, Stefan B. Williams, Donald G. Dansereau:
Light Field Image Restoration for Vision in Scattering Media. ICIP 2018: 1093-1097 - [i1]Lloyd Windrim, Mitch Bryson:
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. CoRR abs/1810.12536 (2018) - 2017
- [j8]Matthew Johnson-Roberson, Mitch Bryson, Ariell Friedman, Oscar Pizarro, Giancarlo Troni, Paul Ozog, Jon C. Henderson:
High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology. J. Field Robotics 34(4): 625-643 (2017) - 2016
- [j7]Stefan B. Williams, Oscar Pizarro, Daniel M. Steinberg, Ariell Friedman, Mitch Bryson:
Reflections on a decade of autonomous underwater vehicles operations for marine survey at the Australian Centre for Field Robotics. Annu. Rev. Control. 42: 158-165 (2016) - [j6]Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams:
True Color Correction of Autonomous Underwater Vehicle Imagery. J. Field Robotics 33(6): 853-874 (2016) - 2015
- [j5]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets. Comput. Vis. Image Underst. 131: 28-41 (2015) - 2014
- [c13]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets. ICRA 2014: 6032-6039 - 2013
- [c12]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps. COM.Geo 2013: 8-15 - [c11]Daniel L. Bongiorno, Mitch Bryson, Donald G. Dansereau, Stefan B. Williams:
Spectral characterization of COTS RGB cameras using a linear variable edge filter. Digital Photography 2013: 86600N - [c10]Daniel L. Bongiorno, Adam J. Fairley, Mitch Bryson, Stefan B. Williams:
Automatic spectrometer/RGB camera spatial calibration. IGARSS 2013: 4431-4434 - [c9]Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams:
Automated registration for multi-year robotic surveys of marine benthic habitats. IROS 2013: 3344-3349 - 2012
- [c8]Calvin Hung, Mitch Bryson, Salah Sukkarieh:
"ShadowCut" - an unsupervised object segmentation algorithm for aerial robotic surveillance applications. ICRA 2012: 965-970 - [c7]Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams:
Colour-Consistent Structure-from-Motion Models using Underwater Imagery. Robotics: Science and Systems 2012 - 2011
- [c6]Tim Bailey, Mitch Bryson, Hua Mu, John Vial, Lachlan McCalman, Hugh F. Durrant-Whyte:
Decentralised cooperative localisation for heterogeneous teams of mobile robots. ICRA 2011: 2859-2865 - [c5]Mitch Bryson, Salah Sukkarieh:
A comparison of feature and pose-based mapping using vision, inertial and GPS on a UAV. IROS 2011: 4256-4262 - 2010
- [j4]Mitch Bryson, Alistair Reid, Fabio T. Ramos, Salah Sukkarieh:
Airborne vision-based mapping and classification of large farmland environments. J. Field Robotics 27(5): 632-655 (2010) - [j3]Ali Göktogan, Salah Sukkarieh, Mitch Bryson, Jeremy Randle, Todd Lupton, Calvin Hung:
A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management. J. Intell. Robotic Syst. 57(1-4): 467-484 (2010) - [c4]Mitch Bryson, Alistair Reid, Calvin Hung, Fabio Tozeto Ramos, Salah Sukkarieh:
Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications. ISER 2010: 509-523
2000 – 2009
- 2009
- [j2]Mitch Bryson, Salah Sukkarieh:
Architectures for Cooperative Airborne Simultaneous Localisation and Mapping. J. Intell. Robotic Syst. 55(4-5): 267-297 (2009) - [c3]Mitch Bryson, Matthew Johnson-Roberson, Salah Sukkarieh:
Airborne smoothing and mapping using vision and inertial sensors. ICRA 2009: 2037-2042 - 2007
- [j1]Mitch Bryson, Salah Sukkarieh:
Building a Robust Implementation of Bearing-only Inertial SLAM for a UAV. J. Field Robotics 24(1-2): 113-143 (2007) - [c2]Teresa A. Vidal-Calleja, Mitch Bryson, Salah Sukkarieh, Alberto Sanfeliu, Juan Andrade-Cetto:
On the Observability of Bearing-only SLAM. ICRA 2007: 4114-4119 - 2005
- [c1]Mitch Bryson, Salah Sukkarieh:
An information-theoretic approach to autonomous navigation and guidance of an uninhabited aerial vehicle in unknown environments. IROS 2005: 3770-3775
Coauthor Index
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