Ben Upcroft
Ben Upcroft
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Zitiert von
Zitiert von
Simple online and realtime tracking
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
2016 IEEE international conference on image processing (ICIP), 3464-3468, 2016
Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
sensors 16 (8), 1222, 2016
On the performance of convnet features for place recognition
N Sünderhauf, S Shirazi, F Dayoub, B Upcroft, M Milford
2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015
Dynamical tunnelling of ultracold atoms
WK Hensinger, H Häffner, A Browaeys, NR Heckenberg, K Helmerson, ...
Nature 412 (6842), 52-55, 2001
Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free
N Sünderhauf, S Shirazi, A Jacobson, F Dayoub, E Pepperell, B Upcroft, ...
Robotics: Science and Systems XI, 1-10, 2015
The limits and potentials of deep learning for robotics
N Sünderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, B Upcroft, ...
The International Journal of Robotics Research 37 (4-5), 405-420, 2018
Deep learning features at scale for visual place recognition
Z Chen, A Jacobson, N Sünderhauf, B Upcroft, L Liu, C Shen, I Reid, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 3223-3230, 2017
Towards vision-based deep reinforcement learning for robotic motion control
F Zhang, J Leitner, M Milford, B Upcroft, P Corke
arXiv preprint arXiv:1511.03791, 2015
Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles
W Maddern, A Stewart, C McManus, B Upcroft, W Churchill, P Newman
Proceedings of the Visual Place Recognition in Changing Environments …, 2014
Scene signatures: localised and point-less features for localisation
C McManus, B Upcroft, P Newmann
Robotics: Science and Systems, 2014
Place categorization and semantic mapping on a mobile robot
N Sünderhauf, F Dayoub, S McMahon, B Talbot, R Schulz, P Corke, ...
2016 IEEE international conference on robotics and automation (ICRA), 5729-5736, 2016
Mixtures of lightweight deep convolutional neural networks: Applied to agricultural robotics
C McCool, T Perez, B Upcroft
IEEE Robotics and Automation Letters 2 (3), 1344-1351, 2017
Vision‐based obstacle detection and navigation for an agricultural robot
D Ball, B Upcroft, G Wyeth, P Corke, A English, P Ross, T Patten, R Fitch, ...
Journal of field robotics 33 (8), 1107-1130, 2016
Evaluation of features for leaf classification in challenging conditions
D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft
2015 IEEE Winter Conference on Applications of Computer Vision, 797-804, 2015
Decentralised particle filtering for multiple target tracking in wireless sensor networks
LL Ong, T Bailey, H Durrant-Whyte, B Upcroft
2008 11th International Conference on Information Fusion, 1-8, 2008
Quantifying multiscale habitat structural complexity: a cost-effective framework for underwater 3D modelling
R Ferrari, D McKinnon, H He, RN Smith, P Corke, M González-Rivero, ...
Remote Sensing 8 (2), 113, 2016
The Catlin Seaview Survey–kilometre‐scale seascape assessment, and monitoring of coral reef ecosystems
M González‐Rivero, P Bongaerts, O Beijbom, O Pizarro, A Friedman, ...
Aquatic Conservation: Marine and Freshwater Ecosystems 24 (S2), 184-198, 2014
Peduncle detection of sweet pepper for autonomous crop harvesting—combined color and 3-D information
I Sa, C Lehnert, A English, C McCool, F Dayoub, B Upcroft, T Perez
IEEE Robotics and Automation Letters 2 (2), 765-772, 2017
Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition
M Milford, C Shen, S Lowry, N Suenderhauf, S Shirazi, G Lin, F Liu, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
A decentralised particle filtering algorithm for multi-target tracking across multiple flight vehicles
LL Ong, B Upcroft, T Bailey, M Ridley, S Sukkarieh, H Durrant-Whyte
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006
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