Mitch Bryson
Mitch Bryson
Australian Centre for Field Robotics
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On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
Observability analysis and active control for airborne SLAM
M Bryson, S Sukkarieh
IEEE Transactions on Aerospace and Electronic Systems 44 (1), 261-280, 2008
Building a Robust Implementation of Bearing‐only Inertial SLAM for a UAV
M Bryson, S Sukkarieh
Journal of Field Robotics 24 (1‐2), 113-143, 2007
Airborne vision‐based mapping and classification of large farmland environments
M Bryson, A Reid, F Ramos, S Sukkarieh
Journal of Field Robotics 27 (5), 632-655, 2010
True color correction of autonomous underwater vehicle imagery
M Bryson, M Johnson‐Roberson, O Pizarro, SB Williams
Journal of Field Robotics 33 (6), 853-874, 2016
Kite aerial photography for low-cost, ultra-high spatial resolution multi-spectral mapping of intertidal landscapes
M Bryson, M Johnson-Roberson, RJ Murphy, D Bongiorno
PloS one 8 (9), e73550, 2013
Quantifying the response of structural complexity and community composition to environmental change in marine communities
R Ferrari, M Bryson, T Bridge, J Hustache, SB Williams, M Byrne, ...
Global change biology 22 (5), 1965-1975, 2016
Vehicle model aided inertial navigation for a UAV using low-cost sensors
M Bryson, S Sukkarieh
Proceedings of the Australasian Conference on Robotics and Automation, 1-9, 2004
Decentralised cooperative localisation for heterogeneous teams of mobile robots
T Bailey, M Bryson, H Mu, J Vial, L McCalman, H Durrant-Whyte
2011 IEEE International Conference on Robotics and Automation, 2859-2865, 2011
High‐resolution underwater robotic vision‐based mapping and three‐dimensional reconstruction for archaeology
M Johnson‐Roberson, M Bryson, A Friedman, O Pizarro, G Troni, P Ozog, ...
Journal of Field Robotics 34 (4), 625-643, 2017
Multi-class predictive template for tree crown detection
C Hung, M Bryson, S Sukkarieh
ISPRS journal of photogrammetry and remote sensing 68, 170-183, 2012
A rotary-wing unmanned air vehicle for aquatic weed surveillance and management
AH Göktoǧan, S Sukkarieh, M Bryson, J Randle, T Lupton, C Hung
Journal of Intelligent and Robotic Systems 57, 467-484, 2010
A simple, fast, and repeatable survey method for underwater visual 3D benthic mapping and monitoring
O Pizarro, A Friedman, M Bryson, SB Williams, J Madin
Ecology and Evolution 7 (6), 1770-1782, 2017
Detection, segmentation, and model fitting of individual tree stems from airborne laser scanning of forests using deep learning
L Windrim, M Bryson
Remote Sensing 12 (9), 1469, 2020
Characterization of measurement errors using structure‐from‐motion and photogrammetry to measure marine habitat structural complexity
M Bryson, R Ferrari, W Figueira, O Pizarro, J Madin, S Williams, M Byrne
Ecology and Evolution 7 (15), 5669-5681, 2017
Airborne smoothing and mapping using vision and inertial sensors
M Bryson, M Johnson-Roberson, S Sukkarieh
2009 IEEE International Conference on Robotics and Automation, 2037-2042, 2009
On the observability of bearing-only SLAM
T Vidal-Calleja, M Bryson, S Sukkarieh, A Sanfeliu, J Andrade-Cetto
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
Colour-consistent structure-from-motion models using underwater imagery
M Bryson, M Johnson-Roberson, O Pizarro, SB Williams
Bearing-only SLAM for an airborne vehicle
M Bryson, S Sukkarieh
Australasian Conference on Robotics and Automation 4, 18, 2005
Architectures for cooperative airborne simultaneous localisation and mapping
M Bryson, S Sukkarieh
Journal of Intelligent and Robotic Systems 55, 267-297, 2009
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