Ingmar Posner
Title
Cited by
Cited by
Year
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
2562017
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
2112016
Voting for Voting in Online Point Cloud Object Detection
DZ Wang, I Posner
Robotics: Science and Systems, 2015
1972015
Maximum Entropy Deep Inverse Reinforcement Learning
M Wulfmeier, P Ondruska, I Posner
CoRR 2015, 2015
191*2015
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
1682009
Deep tracking: Seeing beyond seeing using recurrent neural networks
P Ondruska, I Posner
arXiv preprint arXiv:1602.00991, 2016
1272016
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
1192013
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
1002012
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
722015
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
692018
Deep tracking: Seeing beyond seeing using recurrent neural networks
P Ondr˙ška, I Posner
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligenceá…, 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
Deep tracking in the wild: End-to-end tracking using recurrent neural networks
J Dequaire, P Ondr˙ška, D Rao, D Wang, I Posner
The International Journal of Robotics Research 37 (4-5), 492-512, 2018
562018
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 Systemsá…, 2016
542016
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
482013
Fast probabilistic labeling of city maps
I Posner, M Cummins, P Newman
Proceedings of robotics: Science and systems IV, Zurich, Switzerland, 2008
472008
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
452017
Using text-spotting to query the world
I Posner, P Corke, P Newman
2010 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2010
442010
The system can't perform the operation now. Try again later.
Articles 1–20