An information-theoretic approach to autonomous navigation and guidance of an uninhabited aerial vehicle in unknown environments. - Mitch Bryson; Salah Sukkarieh (IROS, 2005)

On the Observability of Bearing-only SLAM. - Teresa A. Vidal-Calleja; Mitch Bryson; Salah Sukkarieh; Alberto Sanfeliu; Juan Andrade-Cetto (ICRA, 2007)

Building a Robust Implementation of Bearing-only Inertial SLAM for a UAV. - Mitch Bryson; Salah Sukkarieh (J. Field Robotics, 2007)

Airborne smoothing and mapping using vision and inertial sensors. - Mitch Bryson; Matthew Johnson-Roberson; Salah Sukkarieh (ICRA, 2009)

Architectures for Cooperative Airborne Simultaneous Localisation and Mapping. - Mitch Bryson; Salah Sukkarieh (J. Intell. Robotic Syst., 2009)

Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications. - Mitch Bryson; Alistair Reid 001; Calvin Hung; Fabio Tozeto Ramos; Salah Sukkarieh (ISER, 2010)

Airborne vision-based mapping and classification of large farmland environments. - Mitch Bryson; Alistair Reid 001; Fabio T. Ramos 001; Salah Sukkarieh (J. Field Robotics, 2010)

A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management. - Ali Göktogan; Salah Sukkarieh; Mitch Bryson; Jeremy Randle; Todd Lupton; Calvin Hung (J. Intell. Robotic Syst., 2010)

Decentralised cooperative localisation for heterogeneous teams of mobile robots. - Tim Bailey; Mitch Bryson; Hua Mu; John Vial; Lachlan McCalman; Hugh F. Durrant-Whyte (ICRA, 2011)

A comparison of feature and pose-based mapping using vision, inertial and GPS on a UAV. - Mitch Bryson; Salah Sukkarieh (IROS, 2011)

"ShadowCut" - an unsupervised object segmentation algorithm for aerial robotic surveillance applications. - Calvin Hung; Mitch Bryson; Salah Sukkarieh (ICRA, 2012)

Colour-Consistent Structure-from-Motion Models using Underwater Imagery. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (Robotics: Science and Systems, 2012)

Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (COM.Geo, 2013)

Spectral characterization of COTS RGB cameras using a linear variable edge filter. - Daniel L. Bongiorno; Mitch Bryson; Donald G. Dansereau; Stefan B. Williams (Digital Photography, 2013)

Automatic spectrometer/RGB camera spatial calibration. - Daniel L. Bongiorno; Adam J. Fairley; Mitch Bryson; Stefan B. Williams (IGARSS, 2013)

Automated registration for multi-year robotic surveys of marine benthic habitats. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (IROS, 2013)

Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (ICRA, 2014)

Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets. - Matthew Johnson-Roberson; Mitch Bryson; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (Comput. Vis. Image Underst., 2015)

Reflections on a decade of autonomous underwater vehicles operations for marine survey at the Australian Centre for Field Robotics. - Stefan B. Williams; Oscar Pizarro; Daniel M. Steinberg; Ariell Friedman; Mitch Bryson (Annu. Rev. Control., 2016)

True Color Correction of Autonomous Underwater Vehicle Imagery. - Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizarro; Stefan B. Williams (J. Field Robotics, 2016)

High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology. - Matthew Johnson-Roberson; Mitch Bryson; Ariell Friedman; Oscar Pizarro; Giancarlo Troni; Paul Ozog; Jon C. Henderson (J. Field Robotics, 2017)

Light Field Image Restoration for Vision in Scattering Media. - Vigil Varghese; Mitch Bryson; Oscar Pizarro; Stefan B. Williams; Donald G. Dansereau (ICIP, 2018)

Coregistered Hyperspectral and Stereo Image Seafloor Mapping from an Autonomous Underwater Vehicle. - Daniel L. Bongiorno; Mitch Bryson; Tom C. L. Bridge; Donald G. Dansereau; Stefan B. Williams (J. Field Robotics, 2018)

Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. - Lloyd Windrim; Mitch Bryson (IROS, 2019)

Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. - Lloyd Windrim; Mitch Bryson; Michael McLean; Jeremy Randle; Christine Stone (Remote. Sens., 2019)

Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning. - James Allworth; Lloyd Windrim; Jeffrey Wardman; Daniel Kucharski; James Bennett; Mitch Bryson (CoRR, 2020)

Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. - Lloyd Windrim; Mitch Bryson (Remote. Sens., 2020)

Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning. - Javier Pérez; Mitch Bryson; Stefan B. Williams; Pedro J. Sanz (Sensors, 2020)

Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning. - Lloyd Windrim; Angus J. Carnegie; Murray Webster; Mitch Bryson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

SimTreeLS: Simulating aerial and terrestrial laser scans of trees. - Fred Westling; Mitch Bryson; James Patrick Underwood (Comput. Electron. Agric., 2021)

Graph-based methods for analyzing orchard tree structure using noisy point cloud data. - Fred Westling; James Patrick Underwood; Mitch Bryson (Comput. Electron. Agric., 2021)

A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees. - Fred Westling; James Patrick Underwood; Mitch Bryson (Comput. Electron. Agric., 2021)

Burst Imaging for Light-Constrained Structure-From-Motion. - Ahalya Ravendran; Mitch Bryson; Donald G. Dansereau (IEEE Robotics Autom. Lett., 2022)

Tree Segmentation and Parameter Measurement from Point Clouds Using Deep and Handcrafted Features. - Feiyu Wang; Mitch Bryson (Remote. Sens., 2023)

Using Synthetic Tree Data in Deep Learning-Based Tree Segmentation Using LiDAR Point Clouds. - Mitch Bryson; Feiyu Wang; James Allworth (Remote. Sens., 2023)

BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction. - Ahalya Ravendran; Mitch Bryson; Donald G. Dansereau (IEEE Robotics Autom. Lett., 2023)

LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light. - Ahalya Ravendran; Mitch Bryson; Donald G. Dansereau (CoRR, 2024)

Adapting SAM via Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection. - Humza Naveed; Xina Zeng; Mitch Bryson; Nagita Mehrseresht (CoRR, 2025)