Ingmar Posner
Ingmar Posner
Dirección de correo verificada de robots.ox.ac.uk
TítuloCitado porAño
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
165*2016
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
1642017
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
1622009
Deep tracking: Seeing beyond seeing using recurrent neural networks
P Ondruska, I Posner
Thirtieth AAAI Conference on Artificial Intelligence, 2016
1442016
Voting for Voting in Online Point Cloud Object Detection
DZ Wang, I Posner
Robotics: Science and Systems, 2015
1382015
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
1062013
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
922009
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
882012
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
602015
Online generation of scene descriptions in urban environments
I Posner, D Schroeter, P Newman
Robotics and Autonomous Systems 56 (11), 901-914, 2008
582008
Using scene similarity for place labelling
I Posner, D Schroeter, PM Newman
Experimental Robotics, 85-98, 2008
512008
Fast probabilistic labeling of city maps
I Posner, M Cummins, P Newman
Proceedings of robotics: Science and systems IV, Zurich, Switzerland, 2008
462008
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
442018
Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making
H Grimmett, R Paul, R Triebel, I Posner
442013
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
432017
Using text-spotting to query the world
I Posner, P Corke, P Newman
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
422010
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
412016
Describing composite urban workspaces
I Posner, D Schroeter, P Newman
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
402007
Planning to perceive: Exploiting mobility for robust object detection
J Velez, G Hemann, AS Huang, I Posner, N Roy
Twenty-First International Conference on Automated Planning and Scheduling, 2011
372011
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
322018
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