On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar | 365 | 2013 |
Observability analysis and active control for airborne SLAM M Bryson, S Sukkarieh IEEE Transactions on Aerospace and Electronic Systems 44 (1), 261-280, 2008 | 216 | 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 | 163 | 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 | 156 | 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 | 130 | 2016 |
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 | 126 | 2017 |
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 | 126 | 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 | 125 | 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 | 122 | 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 | 116 | 2011 |
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 | 115 | 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 | 102 | 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 | 98 | 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 | 88 | 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 | 82 | 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 | 77 | 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 | 71 | 2007 |
Colour-consistent structure-from-motion models using underwater imagery M Bryson, M Johnson-Roberson, O Pizarro, SB Williams | 69 | 2013 |
Bearing-only SLAM for an airborne vehicle M Bryson, S Sukkarieh Australasian Conference on Robotics and Automation 4, 18, 2005 | 69 | 2005 |
Architectures for cooperative airborne simultaneous localisation and mapping M Bryson, S Sukkarieh Journal of Intelligent and Robotic Systems 55, 267-297, 2009 | 59 | 2009 |