Ingmar Posner
Ingmar Posner
Dirección de correo verificada de robots.ox.ac.uk
Título
Citado por
Citado por
Año
Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks
M Engelcke, D Rao, DZ Wang, CH Tong, I Posner
2017 IEEE International Conference on Robotics and Automation (ICRA), 1355-1361, 2017
2452017
Watch this: Scalable cost-function learning for path planning in urban environments
M Wulfmeier, DZ Wang, I Posner
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
217*2016
End-to-end tracking and semantic segmentation using recurrent neural networks
P Ondruska, J Dequaire, DZ Wang, I Posner
arXiv preprint arXiv:1604.05091, 2016
2062016
Voting for Voting in Online Point Cloud Object Detection
DZ Wang, I Posner
Robotics: Science and Systems, 2015
1932015
Navigating, recognizing and describing urban spaces with vision and lasers
P Newman, G Sibley, M Smith, M Cummins, A Harrison, C Mei, I Posner, ...
The International Journal of Robotics Research 28 (11-12), 1406-1433, 2009
1672009
Deep tracking: Seeing beyond seeing using recurrent neural networks
P Ondruska, I Posner
Thirtieth AAAI Conference on Artificial Intelligence, 2016
1222016
Toward automated driving in cities using close-to-market sensors: An overview of the v-charge project
P Furgale, U Schwesinger, M Rufli, W Derendarz, H Grimmett, ...
2013 IEEE Intelligent Vehicles Symposium (IV), 809-816, 2013
1172013
What could move? finding cars, pedestrians and bicyclists in 3d laser data
DZ Wang, I Posner, P Newman
2012 IEEE International Conference on Robotics and Automation, 4038-4044, 2012
992012
A generative framework for fast urban labeling using spatial and temporal context
I Posner, M Cummins, P Newman
Autonomous Robots 26 (2-3), 153-170, 2009
762009
Model-free detection and tracking of dynamic objects with 2D lidar
DZ Wang, I Posner, P Newman
The International Journal of Robotics Research 34 (7), 1039-1063, 2015
702015
Deep tracking: Seeing beyond seeing using recurrent neural networks
P Ondrúška, I Posner
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016
672016
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
D Barnes, W Maddern, I Posner
2017 IEEE International Conference on Robotics and Automation (ICRA), 203-210, 2017
612017
Sequential attend, infer, repeat: Generative modelling of moving objects
A Kosiorek, H Kim, YW Teh, I Posner
Advances in Neural Information Processing Systems, 8606-8616, 2018
582018
Deep tracking in the wild: End-to-end tracking using recurrent neural networks
J Dequaire, P Ondrúška, D Rao, D Wang, I Posner
The International Journal of Robotics Research 37 (4-5), 492-512, 2018
552018
Using scene similarity for place labelling
I Posner, D Schroeter, PM Newman
Experimental Robotics, 85-98, 2008
492008
Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making
H Grimmett, R Paul, R Triebel, I Posner
472013
Fast probabilistic labeling of city maps
I Posner, M Cummins, P Newman
Proceedings of robotics: Science and systems IV, Zurich, Switzerland, 2008
472008
Using text-spotting to query the world
I Posner, P Corke, P Newman
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
442010
Large-scale cost function learning for path planning using deep inverse reinforcement learning
M Wulfmeier, D Rao, DZ Wang, P Ondruska, I Posner
The International Journal of Robotics Research 36 (10), 1073-1087, 2017
402017
Hierarchical attentive recurrent tracking
A Kosiorek, A Bewley, I Posner
Advances in neural information processing systems, 3053-3061, 2017
402017
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Artículos 1–20