Ingmar Posner

Affiliations: 
Engineering Science University of Oxford, Oxford, United Kingdom 
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Dequaire J, Ondruska P, Rao D, et al. (2018) Deep tracking in the wild: End-to-end tracking using recurrent neural networks: The International Journal of Robotics Research. 37: 492-512
Wulfmeier M, Rao D, Wang DZ, et al. (2017) Large-scale cost function learning for path planning using deep inverse reinforcement learning The International Journal of Robotics Research. 36: 1073-1087
Grimmett H, Triebel R, Paul R, et al. (2016) Introspective classification for robot perception The International Journal of Robotics Research. 35: 743-762
Wang DZ, Posner I, Newman P. (2015) Model-free detection and tracking of dynamic objects with 2D lidar The International Journal of Robotics Research. 34: 1039-1063
Mathibela B, Newman P, Posner I. (2015) Reading the Road: Road Marking Classification and Interpretation Ieee Transactions On Intelligent Transportation Systems. 16: 2072-2081
Vélez J, Hemann G, Huang AS, et al. (2012) Modelling Observation Correlations for Active Exploration and Robust Object Detection Journal of Artificial Intelligence Research. 44: 423-453
Smith M, Posner I, Newman P. (2011) Adaptive compression for 3D laser data The International Journal of Robotics Research. 30: 914-935
Newman P, Sibley G, Smith M, et al. (2009) Navigating, recognizing and describing urban spaces with vision and lasers International Journal of Robotics Research. 28: 1406-1433
Posner I, Cummins M, Newman P. (2009) A generative framework for fast urban labeling using spatial and temporal context Autonomous Robots. 26: 153-170
Posner I, Schroeter D, Newman P. (2008) Online generation of scene descriptions in urban environments Robotics and Autonomous Systems. 56: 901-914
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