Publications @ A2I

publications

2019

  • [PDF] E. Wagstaff, F. Fuchs, M. Engelcke, I. Posner, and M. A. Osborne, “On the Limitations of Representing Functions on Sets,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, California, USA, K. Chaudhuri and R. Salakhutdinov 2019, vol. 97, p. 6487–6494, PMLR (link).
    [Bibtex]
    @InProceedings{pmlr-v97-wagstaff19a,
    title = {On the Limitations of Representing Functions on Sets},
    author = {Wagstaff, Edward and Fuchs, Fabian and Engelcke, Martin and Posner, Ingmar and Osborne, Michael A.},
    booktitle = {Proceedings of the 36th International Conference on Machine Learning},
    pages = {6487--6494},
    year = {2019},
    editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
    volume = {97},
    series = {Proceedings of Machine Learning Research},
    address = {Long Beach, California, USA},
    month = {09--15 Jun},
    publisher = {PMLR},
    pdf = {http://proceedings.mlr.press/v97/wagstaff19a/wagstaff19a.pdf},
    url = {http://proceedings.mlr.press/v97/wagstaff19a.html},
    abstract = {Recent work on the representation of functions on sets has considered the use of summation in a latent space to enforce permutation invariance. In particular, it has been conjectured that the dimension of this latent space may remain fixed as the cardinality of the sets under consideration increases. However, we demonstrate that the analysis leading to this conjecture requires mappings which are highly discontinuous and argue that this is only of limited practical use. Motivated by this observation, we prove that an implementation of this model via continuous mappings (as provided by e.g. neural networks or Gaussian processes) actually imposes a constraint on the dimensionality of the latent space. Practical universal function representation for set inputs can only be achieved with a latent dimension at least the size of the maximum number of input elements.}
    }
  • [PDF] R. Weston, S. Cen, P. Newman, and I. Posner, “Probably Unknown: Deep Inverse Sensor Modelling Radar.” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019 2019.
    [Bibtex]
    @InProceedings{ICRA19_weston,
    author = {Weston, Rob and Cen, Sarah and Newman, Paul and Posner, Ingmar},
    title = {Probably Unknown: Deep Inverse Sensor Modelling Radar},
    year = {2019},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/ICRA19_weston.pdf},
    journal = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019},
    }
  • [PDF] D. Barnes, M. Gadd, P. Murcutt, P. Newman, and I. Posner, “The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset.” in arXiv preprint arXiv: 1909.01300 2019 (link).
    [Bibtex]
    @Article{RadarRobotCarDatasetArXiv,
    author = {Barnes, Dan and Gadd, Matthew and Murcutt, Paul and Newman, Paul and Posner, Ingmar},
    title = {The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
    journal = {arXiv preprint arXiv: 1909.01300},
    year = {2019},
    pdf = {https://arxiv.org/pdf/1909.01300.pdf},
    url = {https://arxiv.org/pdf/1909.01300},
    }
  • [PDF] D. Barnes, R. Weston, and I. Posner, “Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information,” in Conference on Robot Learning (CoRL), 2019 (link).
    [Bibtex]
    @article{Barnes2019MaskingByMoving,
    author = {Barnes, Dan and Weston, Rob and Posner, Ingmar},
    title = {Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information},
    booktitle = {{C}onference on {R}obot {L}earning ({CoRL})},
    url = {https://arxiv.org/pdf/1909.03752},
    pdf = {https://arxiv.org/pdf/1909.03752.pdf},
    year = {2019}
    }
  • [PDF] Y. Wu, S. Kasewa, O. Groth, S. Salter, L. Sun, O. P. Jones, and I. Posner, “Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks.” in arXiv preprint arXiv:1909.13561 2019.
    [Bibtex]
    @article{wu2019imagine,
    title={Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks},
    author={Wu, Yizhe and Kasewa, Sudhanshu and Groth, Oliver and Salter, Sasha and Sun, Li and Jones, Oiwi Parker and Posner, Ingmar},
    journal={arXiv preprint arXiv:1909.13561},
    year = {2019},
    pdf = {https://arxiv.org/pdf/1909.13561.pdf}
    }
  • [PDF] F. Fuchs, A. Kosiorek, L. Sun, O. Parker Jones, and I. Posner, “End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning,” in Arxiv Preprint, 2019.
    [Bibtex]
    @inproceedings{fuchs19mohart,
    author = {Fuchs, F. and Kosiorek, A. and Sun, L. and Parker Jones, O. and Posner, I.},
    booktitle = {Arxiv Preprint},
    title = {End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning},
    year = {2019},
    pdf = {https://arxiv.org/pdf/1907.12887}
    }
  • [PDF] F. Fuchs, O. Groth, A. Kosiorek, A. Bewley, M. Wulfmeier, A. Vedaldi, and I. Posner, “Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes,” in Proceedings of the British Machine Vision Conference (BMVC), 2019.
    [Bibtex]
    @inproceedings{fuchs19guiding,
    author = {Fuchs, F. and Groth, O. and Kosiorek, A. and Bewley, A. and Wulfmeier, M. and Vedaldi, A. and Posner, I.},
    booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
    title = {Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes},
    year = {2019},
    pdf = {https://bmvc2019.org/wp-content/uploads/papers/0574-paper.pdf}
    }
  • [PDF] M. Engelcke, A. R. Kosiorek, O. Parker Jones, and I. Posner, “GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations.” in arXiv preprint arXiv:1907.13052 2019.
    [Bibtex]
    @article{engelcke2019genesis,
    title={{GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations}},
    author={Engelcke, Martin and Kosiorek, Adam R. and Parker Jones, Oiwi and Posner, Ingmar},
    journal={arXiv preprint arXiv:1907.13052},
    year={2019},
    pdf={https://arxiv.org/pdf/1907.13052.pdf}
    }

2018

  • [PDF] C. Gurau, A. Bewley, and I. Posner, “Dropout Distillation for Efficiently Estimating Model Confidence.” in arXiv preprint arXiv:1809.10562 2018 (link).
    [Bibtex]
    @Article{2018arxiv_gurau,
    author = {Corina Gurau and Alex Bewley and Ingmar Posner},
    title = {Dropout Distillation for Efficiently Estimating Model Confidence},
    journal = {arXiv preprint arXiv:1809.10562},
    year = {2018},
    pdf = {https://arxiv.org/pdf/1809.10562.pdf},
    url = {https://arxiv.org/abs/1809.10562},
    }
  • [PDF] L. Marchegiani and I. Posner, “Long-Term Driving Behaviour Modelling for Driver Identification,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.
    [Bibtex]
    @InProceedings{2018ITSC_marchegiani,
    author = {Letizia Marchegiani and Ingmar Posner},
    title = {Long-Term Driving Behaviour Modelling for Driver Identification},
    booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)},
    year = {2018},
    address = {Maui, Hawaii, USA},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2018ITSC_marchegiani.pdf},
    }
  • [PDF] O. Groth, F. B. Fuchs, I. Posner, and A. Vedaldi, “ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking,” in The European Conference on Computer Vision (ECCV), 2018.
    [Bibtex]
    @InProceedings{Groth_2018_ECCV,
    author = {Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea},
    title = {ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
    booktitle = {The European Conference on Computer Vision (ECCV)},
    year = {2018},
    month = {September},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2018ECCV_groth.pdf},
    }
  • [PDF] A. R. Kosiorek, H. Kim, I. Posner, and Y. W. Teh, “Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects.” in arXiv preprint arXiv:1806.01794 2018 (link).
    [Bibtex]
    @Article{KosiorekCoRR2018,
    author = {Kosiorek, Adam Roman and Kim, Hyunjik and Posner, Ingmar and Teh, Yee Whye},
    title = {Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects},
    journal = {arXiv preprint arXiv:1806.01794},
    year = {2018},
    pdf = {https://arxiv.org/pdf/1806.01794.pdf},
    url = {https://arxiv.org/abs/1806.01794},
    }
  • [PDF] D. Barnes, W. Maddern, G. Pascoe, and I. Posner, “Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, 2018 (link).
    [Bibtex]
    @InProceedings{BarnesICRA2018,
    author = {Barnes, Dan and Maddern, Will and Pascoe, Geoffrey and Posner, Ingmar},
    title = {Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2018},
    address = {Brisbane},
    month = {May},
    pdf = {https://arxiv.org/pdf/1711.06623.pdf},
    url = {https://arxiv.org/abs/1711.06623},
    }
  • [PDF] K. Shiarlis, M. Wulfmeier, S. Salter, S. Whiteson, and I. Posner, “TACO: Learning Task Decomposition via Temporal Alignment for Control,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018.
    [Bibtex]
    @Article{2018ICML_shiarlis,
    author = {Kyriacos Shiarlis and Markus Wulfmeier and Sasha Salter and Shimon Whiteson and Ingmar Posner},
    title = {TACO: Learning Task Decomposition via Temporal Alignment for Control},
    journal = {Proceedings of the 35th International Conference on Machine Learning},
    year = {2018},
    address = {Stockholm, Sweden},
    pdf = {http\://www.robots.ox.ac.uk/~mobile/Papers/2018ICML_shiarlis.pdf},
    }
  • [PDF] M. Wulfmeier, A. Bewley, and I. Posner, “Incremental Adversarial Domain Adaptation for Continually Changing Environments,” in IEEE International Conference on Robotics and Automation (ICRA), 2018.
    [Bibtex]
    @InProceedings{2018ICRA_wulfmeier,
    author = {Wulfmeier, Markus and Bewley, Alex and Posner, Ingmar},
    title = {Incremental Adversarial Domain Adaptation for Continually Changing Environments},
    booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2018},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2018ICRA_wulfmeier.pdf},
    }

2017

  • [PDF] N. Dhir, A. R. Kosiorek, and I. Posner, “Bayesian Delay Embeddings for Dynamical Systems,” in NIPS Timeseries Workshop, 2017.
    [Bibtex]
    @InProceedings{DhirNIPS2017,
    author = {Dhir, Neil and Kosiorek, Adam Roman and Posner, Ingmar},
    title = {{Bayesian Delay Embeddings for Dynamical Systems}},
    booktitle = {NIPS Timeseries Workshop},
    year = {2017},
    month = December,
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017NIPS_dhir.pdf},
    }
  • [PDF] M. Wulfmeier, I. Posner, and P. Abbeel, “Mutual Alignment Transfer Learning,” in Conference on Robot Learning, 2017 (link).
    [Bibtex]
    @InProceedings{Wulfmeier2017MATL,
    author = {Wulfmeier, Markus and Posner, Ingmar and Abbeel, Pieter},
    title = {Mutual Alignment Transfer Learning},
    booktitle = {Conference on Robot Learning},
    year = {2017},
    pdf = {https://arxiv.org/pdf/1707.07907.pdf},
    url = {https://sites.google.com/view/matl/home},
    }
  • [PDF] A. R. Kosiorek, A. Bewley, and I. Posner, “Hierarchical Attentive Recurrent Tracking,” in Neural Information Processing Systems, 2017 (link).
    [Bibtex]
    @InProceedings{Kosiorek2017hierarchical,
    author = {Kosiorek, Adam R and Bewley, Alex and Posner, Ingmar},
    title = {Hierarchical Attentive Recurrent Tracking},
    booktitle = {Neural Information Processing Systems},
    year = {2017},
    month = {December},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017NIPS_AdamKosiorek.pdf},
    url = {http://www.robots.ox.ac.uk/~mobile/Papers/2017NIPS_AdamKosiorek.pdf},
    }
  • [PDF] [DOI] M. Wulfmeier, D. Rao, D. Z. Wang, P. Ondruska, and I. Posner, “Large-scale cost function learning for path planning using deep inverse reinforcement learning.” in The International Journal of Robotics Research 2017, p. 278364917722396, DOI: 10.1177/0278364917722396 (link).
    [Bibtex]
    @Article{WulfmeierIJRR2017,
    author = {Markus Wulfmeier and Dushyant Rao and Dominic Zeng Wang and Peter Ondruska and Ingmar Posner},
    title = {Large-scale cost function learning for path planning using deep inverse reinforcement learning},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    pages = {0278364917722396},
    doi = {10.1177/0278364917722396},
    pdf = {http://dx.doi.org/10.1177/0278364917722396},
    url = {http://dx.doi.org/10.1177/0278364917722396},
    }
  • [PDF] C. Gurau, D. Rao, C. H. Tong, and I. Posner, “Learn from Experience: Probabilistic Prediction of Perception Performance to Avoid Failure.” in The International Journal of Robotics Research 2017.
    [Bibtex]
    @Article{GurauIJRR2017,
    author = {Corina Gurau and Dushyant Rao and Chi Hay Tong and Ingmar Posner},
    title = {Learn from Experience: Probabilistic Prediction of Perception Performance to Avoid Failure},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017IJRR_gurau.pdf},
    }
  • [PDF] J. Hawke, A. Bewley, and I. Posner, “What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017.
    [Bibtex]
    @InProceedings{HawkeIROS2017,
    author = {Hawke, Jeffrey and Bewley, Alex and Posner, Ingmar},
    title = {What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics},
    booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
    year = {2017},
    month = {October},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017IROS_hawke.pdf},
    }
  • [PDF] M. Wulfmeier, A. Bewley, and I. Posner, “Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017.
    [Bibtex]
    @InProceedings{WulfmeierIROS2017,
    author = {Wulfmeier, Markus and Bewley, Alex and Posner, Ingmar},
    title = {Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation},
    booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
    year = {2017},
    month = {October},
    pdf = {https://arxiv.org/abs/1703.01461},
    }
  • [PDF] J. Dequaire, P. Ondrúška, D. Rao, D. Wang, and I. Posner, “Deep tracking in the wild: End-to-end tracking using recurrent neural networks.” in The International Journal of Robotics Research 2017, SAGE Publications Sage UK: London, England, ePrint: http://journals.sagepub.com/doi/abs/10.1177/0278364917710543.
    [Bibtex]
    @Article{DequaireIJJ2017,
    author = {Dequaire, Julie and Ondr{\'u}{\v{s}}ka, Peter and Rao, Dushyant and Wang, Dominic and Posner, Ingmar},
    title = {Deep tracking in the wild: End-to-end tracking using recurrent neural networks},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    eprint = {http://journals.sagepub.com/doi/abs/10.1177/0278364917710543},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017_IJRR_Dequaire.pdf},
    publisher = {SAGE Publications Sage UK: London, England},
    }
  • [PDF] M. Engelcke, D. Rao, D. Zeng Wang, C. Hay Tong, and I. Posner, “Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017.
    [Bibtex]
    @InProceedings{EngelckeICRA2017,
    author = {Engelcke, M. and Rao, D. and Zeng Wang, D. and Hay Tong, C. and Posner, I.},
    title = {{Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks}},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2017},
    month = {June},
    pdf = {https://arxiv.org/abs/1609.06666},
    }
  • [PDF] D. Barnes, W. Maddern, and I. Posner, “Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017 (link).
    [Bibtex]
    @InProceedings{BarnesICRA2017,
    author = {Barnes, Dan and Maddern, Will and Posner, Ingmar},
    title = {{Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy}},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2017},
    address = {Singapore},
    month = {June},
    pdf = {https://arxiv.org/pdf/1610.01238.pdf},
    url = {https://arxiv.org/abs/1610.01238},
    }
  • [PDF] L. Marchegiani and I. Posner, “Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
    [Bibtex]
    @InProceedings{MarchegianiICRA2017,
    author = {Marchegiani, Letizia and Posner, Ingmar},
    title = {Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2017},
    address = {Singapore},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017ICRA_marchegiani.pdf},
    }

2016

  • [PDF] M. Wulfmeier, D. Rao, and I. Posner, “Incorporating Human Domain Knowledge into Large Scale Cost Function Learning,” in Neural Information Processing Systems Conference, Deep Reinforcement Learning Workshopin CoRR, 2016, vol. abs/1612.04318.
    [Bibtex]
    @InProceedings{WulfmeierNIPS2016,
    author = {Wulfmeier, Markus and Rao, Dushyant and Posner, Ingmar},
    title = {Incorporating Human Domain Knowledge into Large Scale Cost Function Learning},
    booktitle = {Neural Information Processing Systems Conference, Deep Reinforcement Learning Workshop},
    year = {2016},
    volume = {abs/1612.04318},
    pdf = {http://arxiv.org/abs/1612.04318},
    journal = {CoRR},
    }
  • [PDF] J. Dequaire, D. Rao, P. Ondruska, D. Zeng Wang, and I. Posner, “Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.” in ArXiv e-prints 2016, archive prefix: arXiv, ePrint: 1609.09365, cs.CV, keywords: “Computer Science – Computer Vision and Pattern Recognition, Computer Science – Artificial Intelligence, Computer Science – Learning, Computer Science – Robotics”.
    [Bibtex]
    @Article{DequaireArXivSeptember2016,
    author = {Dequaire, J. and Rao, D. and Ondruska, P. and Zeng Wang, D. and Posner, I.},
    title = {{Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks}},
    journal = {ArXiv e-prints},
    year = {2016},
    month = sep,
    archiveprefix = {arXiv},
    eprint = {1609.09365},
    pdf = {https://arxiv.org/abs/1609.09365},
    keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Learning, Computer Science - Robotics},
    primaryclass = {cs.CV},
    }
  • [PDF] O. Bartlett, C. Gurau, L. Marchegiani, and I. Posner, “Enabling Intelligent Energy Management for Robots using Publicly Available Maps,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
    [Bibtex]
    @InProceedings{BartlettIROS2016,
    author = {Bartlett, Oliver and Gurau, Corina and Marchegiani, Letizia and Posner, Ingmar},
    title = {Enabling Intelligent Energy Management for Robots using Publicly Available Maps},
    booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
    year = {2016},
    address = {Daejeon, South Korea},
    month = {October},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016IROS_bartlett.pdf},
    }
  • [PDF] C. Gurau, C. H. Tong, and I. Posner, “Fit for purpose? Predicting Perception Performance based on Past Experience,” in International Symposium on Experimental Robotics (ISER), Tokyo, Japan, 2016.
    [Bibtex]
    @InProceedings{GurauISER2016,
    author = {Gurau, Corina and Tong, Chi Hay and Posner, Ingmar},
    title = {Fit for purpose? Predicting Perception Performance based on Past Experience},
    booktitle = {International Symposium on Experimental Robotics (ISER)},
    year = {2016},
    address = {Tokyo, Japan},
    month = {October},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016ISER_gurau.pdf},
    }
  • [PDF] M. Wulfmeier, D. Z. Wang, and I. Posner, ” Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments ,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. Awarded “IROS ABB Best Student Paper Award”; see http://www.iros2016.org/awards.html
    [Bibtex]
    @InProceedings{WulfmeierIROS2016,
    author = {Wulfmeier, Markus and Wang, Dominic Zeng and Posner, Ingmar},
    title = {{ Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments }},
    booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
    year = {2016},
    month = October,
    note = {arxiv preprint: http://arxiv.org/abs/1607.02329},
    award = {IROS ABB Best Student Paper Award},
    awardlink = {http://www.iros2016.org/awards.html},
    pdf = {http://ieeexplore.ieee.org/document/7759328},
    }
  • [PDF] P. Ondruska, J. Dequaire, D. Zeng Wang, and I. Posner, “End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks,” in Robotics: Science and Systems, Workshop on Limits and Potentials of Deep Learning in Robotics, 2016. Awarded “Best Workshop Paper”; see http://juxi.net/workshop/deep-learning-rss-2016/#papers
    [Bibtex]
    @InProceedings{OndruskaRSS2016,
    author = {Ondruska, Peter and Dequaire, Julie and Zeng Wang, Dominic and Posner, Ingmar},
    title = {{End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks}},
    booktitle = {Robotics: Science and Systems, Workshop on Limits and Potentials of Deep Learning in Robotics},
    year = {2016},
    month = June,
    award = {Best Workshop Paper},
    awardlink = {http://juxi.net/workshop/deep-learning-rss-2016/#papers},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016RSS_ondruska.pdf},
    }
  • [PDF] U. Schwesinger, M. Bürki, J. Timpner, S. Rottmann, L. Wolf, L. M. Paz, H. Grimmett, I. Posner, P. Newman, C. Häne, L. Heng, G. H. Lee, T. Sattler, M. Pollefeys, M. Allodi, F. Valenti, K. Mimura, B. Goebelsmann, and R. Siegwart, “Automated Valet Parking and Charging for e-Mobility–-Results of the V-Charge Project,” in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, 2016.
    [Bibtex]
    @InProceedings{Schwesinger:IV:2016,
    author = {Schwesinger, Ulrich and B{\"{u}}rki, Mathias and Timpner, Julian and Rottmann, Stephan and Wolf, Lars and Paz, Lina Maria and Grimmett, Hugo and Posner, Ingmar and Newman, Paul and H{\"{a}}ne, Christian and Heng, Lionel and Lee, Gim Hee and Sattler, Torsten and Pollefeys, Marc and Allodi, Marco and Valenti, Francesco and Mimura, Keiji and Goebelsmann, Bernd and Siegwart, Roland},
    title = {{Automated Valet Parking and Charging for e-Mobility---Results of the V-Charge Project}},
    booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)},
    year = {2016},
    address = {Gothenburg, Sweden},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/schwesinger_iv16_vcharge.pdf},
    }
  • [PDF] P. Ondruska, J. Dequaire, Zeng Wang Dominic, and I. Posner, “End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks.” in ArXiv e-prints 2016, archive prefix: arXiv, ePrint: 1604.05091, cs.LG, keywords: “Computer Science – Learning – Artificial Intelligence – Computer Vision and Pattern Recognition – Neural and Evolutionary Computing – Robotics”.
    [Bibtex]
    @Article{OndruskaArXivApril2016,
    author = {Ondruska, Peter and Dequaire, Julie and Zeng Wang, Dominic, and Posner, Ingmar},
    title = {{End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks}},
    journal = {ArXiv e-prints},
    year = {2016},
    month = apr,
    adsnote = {Provided by the SAO/NASA Astrophysics Data System},
    adsurl = {http://adsabs.harvard.edu/abs/2016arXiv160405091O},
    archiveprefix = {arXiv},
    eprint = {1604.05091},
    pdf = {http://arxiv.org/abs/1604.05091},
    keywords = {Computer Science - Learning - Artificial Intelligence - Computer Vision and Pattern Recognition - Neural and Evolutionary Computing - Robotics},
    primaryclass = {cs.LG},
    }
  • [PDF] J. Dequaire, C. H. Tong, W. Churchill, and I. Posner, “Off the Beaten Track: Predicting Localisation Performance in Visual Teach and Repeat,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.
    [Bibtex]
    @InProceedings{DequaireICRA2016,
    author = {Dequaire, Julie and Tong, Chi Hay and Churchill, Winston and Posner, Ingmar},
    title = {Off the Beaten Track: Predicting Localisation Performance in Visual Teach and Repeat},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2016},
    address = {Stockholm, Sweden},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016ICRA_dequaire.pdf},
    }
  • [PDF] T. Scott, A. A. Morye, P. Piniés, L. M. Paz, I. Posner, and P. Newman, “Choosing a Time and Place for Calibration of Lidar-Camera Systems,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.
    [Bibtex]
    @InProceedings{ScottICRA2016,
    author = {Scott, Terry and Morye, Akshay A. and Pini{\'e}s, Pedro and Paz, Lina M. and Posner, Ingmar and Newman, Paul},
    title = {Choosing a Time and Place for Calibration of Lidar-Camera Systems},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2016},
    address = {Stockholm, Sweden},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/ICRA2016_scott.pdf},
    }
  • [PDF] P. Ondruska and I. Posner, “Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks,” in The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona USA, 2016.
    [Bibtex]
    @InProceedings{OndruskaAAAI2016,
    author = {Peter Ondruska and Ingmar Posner},
    title = {Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks},
    booktitle = {The Thirtieth AAAI Conference on Artificial Intelligence (AAAI)},
    year = {2016},
    address = {Phoenix, Arizona USA},
    month = {February},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016AAAI_ondruska.pdf},
    github = {https://github.com/pondruska/DeepTracking},
    }

2015

  • [PDF] [DOI] B. Mathibela, P. Newman, and I. Posner, “Reading the Road: Road Marking Classification and Interpretation.” in IEEE Trans. Intelligent Transportation Systems 2015, vol. 16, p. 2072–2081, DOI: 10.1109/TITS.2015.2393715 (link).
    [Bibtex]
    @Article{DBLP:journals/tits/MathibelaNP15,
    author = {Bonolo Mathibela and Paul Newman and Ingmar Posner},
    title = {Reading the Road: Road Marking Classification and Interpretation},
    journal = {{IEEE} Trans. Intelligent Transportation Systems},
    year = {2015},
    volume = {16},
    number = {4},
    pages = {2072--2081},
    bibsource = {dblp computer science bibliography, http://dblp.org},
    biburl = {http://dblp.uni-trier.de/rec/bib/journals/tits/MathibelaNP15},
    doi = {10.1109/TITS.2015.2393715},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/road-marking-classification-paul-ingmar.pdf},
    timestamp = {Wed, 09 Mar 2016 15:29:25 +0100},
    url = {http://dx.doi.org/10.1109/TITS.2015.2393715},
    }
  • [PDF] M. Wulfmeier, P. Ondruska, and I. Posner, “Maximum Entropy Deep Inverse Reinforcement Learning,” in Neural Information Processing Systems Conference, Deep Reinforcement Learning Workshopin CoRR, Montreal, Canada, 2015, vol. abs/1507.04888.
    [Bibtex]
    @InProceedings{2015deepIRL,
    author = {Markus Wulfmeier and Peter Ondruska and Ingmar Posner},
    title = {Maximum Entropy Deep Inverse Reinforcement Learning},
    booktitle = {Neural Information Processing Systems Conference, Deep Reinforcement Learning Workshop},
    year = {2015},
    volume = {abs/1507.04888},
    address = {Montreal, Canada},
    bibsource = {dblp computer science bibliography, http://dblp.org},
    biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/WulfmeierOP15},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/DeepIRL_2015.pdf},
    journal = {CoRR},
    timestamp = {Sun, 02 Aug 2015 18:42:02 +0200},
    }
  • [PDF] T. Scott, A. A. Morye, P. Piniés, L. M. Paz, I. Posner, and P. Newman, “Exploiting Known Unknowns: Scene Induced Cross-Calibration of Lidar-Stereo Systems,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015.
    [Bibtex]
    @InProceedings{ScottIROS2015,
    author = {Scott, Terry and Morye, Akshay A. and Pini{\'e}s, Pedro and Paz, Lina M. and Posner, Ingmar and Newman, Paul},
    title = {{E}xploiting {K}nown {U}nknowns: {S}cene {I}nduced {C}ross-{C}alibration of {L}idar-{S}tereo {S}ystems},
    booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
    year = {2015},
    address = {Hamburg, Germany},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015IROS_scott.pdf},
    }
  • [PDF] H. Grimmett, R. Triebel, R. Paul, and I. Posner, “Introspective Classification for Robot Perception.” in International Journal of Robotics Research (IJRR) 2015.
    [Bibtex]
    @Article{GrimmettIJRR2015,
    author = {Grimmett, Hugo and Triebel, Rudolph and Paul, Rohan and Posner, Ingmar},
    title = {{I}ntrospective {C}lassification for {R}obot {P}erception},
    journal = {International Journal of Robotics Research (IJRR)},
    year = {2015},
    addendum = {{Corrigendum-ibid.}},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015IJRR_Grimmett2.pdf},
    }
  • [PDF] D. Barnes, W. Maddern, and I. Posner, “Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation,” in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Seoul, South Korea, 2015.
    [Bibtex]
    @InProceedings{BarnesIV2015,
    author = {Barnes, Dan and Maddern, Will and Posner, Ingmar},
    title = {{E}xploiting {3D} {S}emantic {S}cene {P}riors for {O}nline {T}raffic {L}ight {I}nterpretation},
    booktitle = {{P}roceedings of the {IEEE} {I}ntelligent {V}ehicles {S}ymposium ({IV})},
    year = {2015},
    address = {Seoul, South Korea},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015IV_barnes.pdf},
    }
  • [PDF] J. Hawke, C. Gurau, C. H. Tong, and I. Posner, “Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception,” in Field and Service Robotics (FSR), Toronto, ON, Canada, 2015.
    [Bibtex]
    @InProceedings{HawkeFSR2015,
    author = {Hawke, Jeffrey and Gurau, Corina and Tong, Chi Hay and Posner, Ingmar},
    title = {Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception},
    booktitle = {{F}ield and {S}ervice {R}obotics ({FSR})},
    year = {2015},
    address = {Toronto, ON, Canada},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015FSR_hawke.pdf},
    }
  • [PDF] P. Nelson, W. Churchill, I. Posner, and P. Newman, “From Dusk till Dawn: Localisation at Night using Artificial Light Sources,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]
    @InProceedings{NelsonICRA2015,
    author = {Nelson, Peter and Churchill, Winston and Posner, Ingmar and Newman, Paul},
    title = {{F}rom {D}usk till {D}awn: {L}ocalisation at {N}ight using {A}rtificial {L}ight {S}ources},
    booktitle = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {R}obotics and {A}utomation ({ICRA})},
    year = {2015},
    address = {Seattle, WA, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_Nelson.pdf},
    }
  • [PDF] W. Churchill, C. H. Tong, C. Gurau, I. Posner, and P. Newman, “Know Your Limits: Embedding Localiser Performance Models in Teach and Repeat Maps,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]
    @InProceedings{ChurchillICRA2015,
    author = {Churchill, Winston and Tong, Chi Hay and Gurau, Corina and Posner, Ingmar and Newman, Paul},
    title = {{K}now {Y}our {L}imits: {E}mbedding {L}ocaliser {P}erformance {M}odels in {T}each and {R}epeat {M}aps},
    booktitle = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {R}obotics and {A}utomation ({ICRA})},
    year = {2015},
    address = {Seattle, WA, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_Churchill.pdf},
    }
  • [PDF] H. Grimmett, M. Buerki, L. Paz, P. Piniés, P. Furgale, I. Posner, and P. Newman, “Integrating Metric and Semantic Maps for Vision-Only Automated Parking,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]
    @InProceedings{GrimmettICRA2015,
    author = {Grimmett, Hugo and Buerki, Mathias and Paz, Lina and Pini{\'e}s, Pedro and Furgale, Paul and Posner, Ingmar and Newman, Paul},
    title = {{I}ntegrating {M}etric and {S}emantic {M}aps for {V}ision-{O}nly {A}utomated {P}arking},
    booktitle = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {R}obotics and {A}utomation ({ICRA})},
    year = {2015},
    address = {Seattle, WA, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_Grimmett.pdf},
    }
  • [PDF] L. Berczi, I. Posner, and T. D. Barfoot, “Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian-Process Classifier,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]
    @InProceedings{BercziICRA2015,
    author = {Berczi, Laszlo-Peter and Posner, Ingmar and Barfoot, Timothy D.},
    title = {Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian-Process Classifier},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2015},
    address = {Seattle, WA, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_berczi.pdf},
    }
  • [PDF] P. Ondruska, C. Gurau, L. Marchegiani, C. H. Tong, and I. Posner, “Scheduled Perception for Energy-Efficient Path Following,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]
    @InProceedings{OndruskaICRA2015,
    author = {Peter Ondruska and Corina Gurau and Letizia Marchegiani and Chi Hay Tong and Ingmar Posner},
    title = {Scheduled Perception for Energy-Efficient Path Following},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2015},
    address = {Seattle, WA, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_ondruska.pdf},
    }
  • [DOI] D. Z. Wang, I. Posner, and P. Newman, “Model-Free Detection and Tracking of Dynamic Objects with 2D Lidar.” in The International Journal of Robotics Research (IJRR) 2015, vol. 34, pp. 1039-1063, DOI: 10.1177/0278364914562237.
    [Bibtex]
    @article{2015IJRR_wang,
    Author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    Journal = {The International Journal of Robotics Research (IJRR)},
    Title = {Model-Free Detection and Tracking of Dynamic Objects with 2{D} Lidar},
    Volume = {34},
    Number = {7},
    Pages = {1039-1063},
    DOI = {10.1177/0278364914562237},
    Year = {2015}}
  • [PDF] D. Z. Wang and I. Posner, “Voting for Voting in Online Point Cloud Object Detection,” in Proceedings of Robotics: Science and Systems, Rome, Italy, 2015.
    [Bibtex]
    @InProceedings{2015RSS_wang,
    author = {Dominic Zeng Wang AND Ingmar Posner},
    title = {Voting for Voting in Online Point Cloud Object Detection},
    booktitle = {Proceedings of Robotics: Science and Systems},
    year = {2015},
    address = {Rome, Italy},
    month = {July},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015RSS_wang.pdf},
    }

2014

  • [PDF] C. Gurau, J. Hawke, C. H. Tong, and I. Posner, “Learning on the Job: Improving Robot Perception Through Experience,” in Neural Information Processing Systems (NIPS) Workshop on “Autonomously Learning Robots”, Montreal, Quebec, Canada, 2014, keywords: “workshop_posner, Experience Based Classification”.
    [Bibtex]
    @InProceedings{GurauNIPSWorkshop2014,
    author = {Corina Gurau and Jeff Hawke and Chi Hay Tong and Ingmar Posner},
    title = {Learning on the Job: Improving Robot Perception Through Experience},
    booktitle = {Neural Information Processing Systems (NIPS) Workshop on ``Autonomously Learning Robots''},
    year = {2014},
    address = {Montreal, Quebec, Canada},
    month = {12 December},
    annote = {full-paper-refereed},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2014NIPSWorkshop_gurau.pdf},
    keywords = {workshop_posner, Experience Based Classification},
    }
  • [PDF] P. Ondruska and I. Posner, “The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range,” in Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS), Portsmouth, NH, USA, 2014.
    [Bibtex]
    @InProceedings{OndruskaICAPS2014,
    author = {Peter Ondruska and Ingmar Posner},
    title = {The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range},
    booktitle = {Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS)},
    year = {2014},
    address = {Portsmouth, NH, USA},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2014ICAPS_ondruska.pdf},
    }
  • [PDF] P. Ondruska and I. Posner, “Probabilistic Attainability Maps: Efficiently Predicting Driver-Specific Electric Vehicle Range,” in IEEE Intelligent Vehicles Symposium (IV), Dearborn, MI, USA, 2014.
    [Bibtex]
    @InProceedings{OndruskaIVS2014,
    author = {Peter Ondruska and Ingmar Posner},
    title = {Probabilistic Attainability Maps: Efficiently Predicting Driver-Specific Electric Vehicle Range},
    booktitle = {IEEE Intelligent Vehicles Symposium (IV)},
    year = {2014},
    address = {Dearborn, MI, USA},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2014IVS_ondruska.pdf},
    }

2013

  • [PDF] P. Furgale, U. Schwesinger, M. Rufli, W. Derendarz, H. Grimmett, P. Mühlfellner, S. Wonneberger, J. T. S. Rottmann, B. Li, B. Schmidt, T. N. Nguyen, E. Cardarelli, S. Cattani, S. Brüning, S. Horstmann, M. Stellmacher, H. Mielenz, K. Köser, M. Beermann, C. Häne, L. Heng, G. H. Lee, F. Fraundorfer, R. Iser, R. Triebel, I. Posner, P. Newman, L. Wolf, M. Pollefeys, S. Brosig, J. Effertz, C. Pradalier, and R. Siegwart, “Toward Automated Driving in Cities using Close-to-Market Sensors, an Overview of the V-Charge Project,” in IEEE Intelligent Vehicles Symposium (IV), Gold Coast, Australia, 2013, p. 809–816.
    [Bibtex]
    @InProceedings{furgale_iv13,
    author = {Paul Furgale and Ulrich Schwesinger and Martin Rufli and Wojciech Derendarz and Hugo Grimmett and Peter M\"{u}hlfellner and Stefan Wonneberger and Julian Timpner Stephan Rottmann and Bo Li and Bastian Schmidt and Thien Nghia Nguyen and Elena Cardarelli and Stefano Cattani and Stefan Br\"{u}ning and Sven Horstmann and Martin Stellmacher and Holger Mielenz and Kevin K\"{o}ser and Markus Beermann and Christian H\"{a}ne and Lionel Heng and Gim Hee Lee and Friedrich Fraundorfer and Ren\'{e} Iser and Rudolph Triebel and Ingmar Posner and Paul Newman and Lars Wolf and Marc Pollefeys and Stefan Brosig and Jan Effertz and C\'edric Pradalier and Roland Siegwart},
    title = {{Toward Automated Driving in Cities using Close-to-Market Sensors, an Overview of the V-Charge Project}},
    booktitle = {IEEE Intelligent Vehicles Symposium (IV)},
    year = {2013},
    pages = {809--816},
    address = {Gold Coast, Australia},
    month = {23--26 June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013IV_Furgale.pdf},
    }
  • [PDF] R. Triebel, H. Grimmett, R. Paul, and I. Posner, “Driven Learning for Driving: How Introspection Improves Semantic Mapping,” in International Symposium on Robotics Research (ISRR), Singapore, 2013.
    [Bibtex]
    @InProceedings{TriebelISRR2013,
    author = {Rudolph Triebel and Hugo Grimmett and Rohan Paul and Ingmar Posner},
    title = {Driven Learning for Driving: How Introspection Improves Semantic Mapping},
    booktitle = {International Symposium on Robotics Research (ISRR)},
    year = {2013},
    address = {Singapore},
    month = {December},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013ISRR_triebel.pdf},
    }
  • [PDF] D. Z. Wang, I. Posner, and P. Newman, “A New Approach to Model-Free Tracking with 2D Lidar,” in Proceedings of the International Symposium on Robotics Research (ISRR), Singapore, 2013.
    [Bibtex]
    @InProceedings{WangISRR2013,
    author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    title = {A New Approach to Model-Free Tracking with 2{D} Lidar},
    booktitle = {Proceedings of the International Symposium on Robotics Research (ISRR)},
    year = {2013},
    address = {Singapore},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013ISRR_wang.pdf},
    }
  • [PDF] R. Triebel, H. Grimmett, R. Paul, and I. Posner, “Introspective Active Learning for Scalable Semantic Mapping,” in Workshop on Active Learning in Robotics: Exploration, Curiosity and Interaction. Robotics Science and Systems (RSS), 2013, keywords: “workshop_posner”.
    [Bibtex]
    @InProceedings{TriebelRSSWorkshop2013,
    author = {Rudolph Triebel and Hugo Grimmett and Rohan Paul and Ingmar Posner},
    title = {Introspective Active Learning for Scalable Semantic Mapping},
    booktitle = {Workshop on Active Learning in Robotics: Exploration, Curiosity and Interaction. Robotics Science and Systems (RSS)},
    year = {2013},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013RSSWorkshop_Triebel.pdf},
    keywords = {workshop_posner},
    }
  • R. Triebel, H. Grimmett, and I. Posner, “Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning,” in Workshop on Autonomous Learing. IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013, keywords: “workshop_posner”.
    [Bibtex]
    @inproceedings{GrimmettICRAWorkshop2013,
    Address = {Karlsruhe, Germany},
    Author = {Rudolph Triebel and Hugo Grimmett and Ingmar Posner},
    Booktitle = {Workshop on Autonomous Learing. IEEE International Conference on Robotics and Automation (ICRA)},
    Keywords = {workshop_posner},
    Month = {May},
    Title = {Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning},
    Year = {2013}
    }
  • [PDF] H. Grimmett, R. Paul, R. Triebel, and I. Posner, “Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013, keywords: “conference_posner”.
    [Bibtex]
    @InProceedings{GrimmettICRA2013,
    author = {Hugo Grimmett and Rohan Paul and Rudolph Triebel and Ingmar Posner},
    title = {Knowing When We Don't Know: Introspective Classification for Mission-Critical Decision Making},
    booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2013},
    address = {Karlsruhe, Germany},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013ICRA_hg.pdf},
    keywords = {conference_posner},
    }

2012

  • J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Modelling Observation Correlations for Active Exploration and Robust Object Detection.” in JAIR Journal of Artificial Intelligence Research 2012, vol. 44, pp. 423-453, keywords: “journal_posner”.
    [Bibtex]
    @article{PosnerEtAlJAIR2012,
    Author = {J. Velez and G. Hemann and A. S. Huang and I. Posner and N. Roy},
    Journal = {JAIR Journal of Artificial Intelligence Research},
    Keywords = {journal_posner},
    Pages = {423 - 453},
    Title = {Modelling Observation Correlations for Active Exploration and Robust Object Detection},
    Volume = {44},
    Year = {2012}}
  • [PDF] B. Mathibela, M. A. Osborne, I. Posner, and P. Newman, “Can Priors Be Trusted? Learning to Anticipate Roadworks,” in Proc. IEEE Conference on Intelligent Transportation Systems (ITSC), Anchorage, AK, USA, 2012, keywords: “Reading the Road and Anticipating Roadworks, conference_posner”.
    [Bibtex]
    @InProceedings{mathibelaITSC2012,
    author = {Bonolo Mathibela and Michael A. Osborne and Ingmar Posner and Paul Newman},
    title = {Can Priors Be Trusted? Learning to Anticipate Roadworks},
    booktitle = {Proc. IEEE Conference on Intelligent Transportation Systems (ITSC)},
    year = {2012},
    address = {Anchorage, AK, USA},
    month = {September},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2012ITSC_bm.pdf},
    keywords = {Reading the Road and Anticipating Roadworks, conference_posner},
    }
  • [PDF] D. Z. Wang, I. Posner, and P. Newman, “What Could Move? Finding Cars, Pedestrians and Bicyclists in 3D Laser Data,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), Minnesota, USA, 2012.
    [Bibtex]
    @InProceedings{WangICRA2012,
    author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    title = {What Could Move? Finding Cars, Pedestrians and Bicyclists in 3{D} Laser Data},
    booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2012},
    address = {Minnesota, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf},
    }

2011

  • [PDF] J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Active Exploration for Robust Object Detection,” in International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 2011, keywords: “conference_posner”.
    [Bibtex]
    @InProceedings{ValezEtAl2011Explor,
    author = {Javier Velez and Garrett Hemann and Albert S. Huang and Ingmar Posner and Nicholas Roy},
    title = {Active Exploration for Robust Object Detection},
    booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
    year = {2011},
    address = {Barcelona, Spain},
    month = {July},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2011IJCAI_posner.pdf},
    keywords = {conference_posner},
    }
  • [PDF] J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Planning to Perceive: Exploiting Mobility For Robust Object Detection,” in International Conference on Automated Planning and Scheduling, Freiburg, Germany, 2011, keywords: “Urban Classification, conference_posner”. Awarded “Best Student Paper”; see http://icaps11.icaps-conference.org/technical/papers.html#beststudentpaper
    [Bibtex]
    @InProceedings{VelezEtAl2011Planning,
    author = {Javier Velez and Garrett Hemann and Albert S. Huang and Ingmar Posner and Nicholas Roy},
    title = {Planning to Perceive: Exploiting Mobility For Robust Object Detection},
    booktitle = {International Conference on Automated Planning and Scheduling},
    year = {2011},
    address = {Freiburg, Germany},
    month = {June},
    award = {Best Student Paper},
    awardlink = {http://icaps11.icaps-conference.org/technical/papers.html#beststudentpaper},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2011IJCAI_posner2.pdf},
    keywords = {Urban Classification, conference_posner},
    }
  • [PDF] M. Smith, I. Posner, and P. Newman, “Adaptive compression for 3D laser data.” in The International Journal of Robotics Research 2011, vol. 30, pp. 914-935, keywords: “3D Laser Acquisition and Efficient Large-Scale 3D Reconstruction, journal_posner”.
    [Bibtex]
    @Article{SmithEtAlIJRR2011,
    author = {Mike Smith and Ingmar Posner and Paul Newman},
    title = {Adaptive compression for 3D laser data},
    journal = {The International Journal of Robotics Research},
    year = {2011},
    volume = {30},
    number = {7},
    pages = {914 - 935},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2011IJRR_smith.pdf},
    keywords = {3D Laser Acquisition and Efficient Large-Scale 3D Reconstruction, journal_posner},
    owner = {mike},
    timestamp = {2011.07.25},
    }

2010

  • [PDF] I. Posner, P. Corke, and P. Newman, “Using Text-Spotting to Query the World,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2010, keywords: “Literate Robots, conference_posner”.
    [Bibtex]
    @InProceedings{PosnerEtAl-IROS2010,
    author = {Ingmar Posner and Peter Corke and Paul Newman},
    title = {Using Text-Spotting to Query the World},
    booktitle = {Proc. of the {IEEE/RSJ} Int. Conf. on Intelligent Robots and Systems (IROS)},
    year = {2010},
    month = {October},
    note = {10},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/PosnerCorkeNewman_IROS2010.pdf},
    keywords = {Literate Robots, conference_posner},
    }
  • [PDF] M. Smith, I. Posner, and P. Newman, “Generating Implicit Surfaces from Lidar Data,” in Towards Autonomous Robotic Systems, Plymouth, UK, 2010, keywords: “Efficient Large-Scale 3D Reconstruction, conference_posner”.
    [Bibtex]
    @InProceedings{SmithEtAl-TAROS10,
    author = {Mike Smith and Ingmar Posner and Paul Newman},
    title = {Generating Implicit Surfaces from Lidar Data},
    booktitle = {Towards Autonomous Robotic Systems},
    year = {2010},
    address = {Plymouth, UK},
    month = {August},
    note = {08},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/SmithPosnerNewman_TAROS2010.pdf},
    keywords = {Efficient Large-Scale 3D Reconstruction, conference_posner},
    }
  • [PDF] M. Smith, I. Posner, and P. Newman, “Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data,” in Proceedings of Robotics: Science and Systems VI, Zaragoza, Spain, 2010, keywords: “Efficient Large-Scale 3D Reconstruction, conference_posner”.
    [Bibtex]
    @InProceedings{Smith2010,
    author = {Mike Smith and Ingmar Posner and Paul Newman},
    title = {Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data},
    booktitle = {Proceedings of Robotics: Science and Systems VI},
    year = {2010},
    address = {Zaragoza, Spain},
    month = {June},
    note = {06},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/p27.pdf},
    keywords = {Efficient Large-Scale 3D Reconstruction, conference_posner},
    }

2009

  • [PDF] [DOI] P. Newman, G. Sibley, M. Smith, M. Cummins, A. Harrison, C. Mei, I. Posner, R. Shade, D. Schroeter, L. Murphy, W. Churchill, D. Cole, and I. Reid, “Navigating, Recognising and Describing Urban Spaces With Vision and Laser.” in The International Journal of Robotics Research 2009, vol. 28, DOI: 10.1177/0278364909341483, keywords: “Urban Classification and, journal_posner”.
    [Bibtex]
    @Article{NewmanEtAlIJRR09,
    author = {Paul Newman and Gabe Sibley and Mike Smith and Mark Cummins and Alastair Harrison and Christopher Mei and Ingmar Posner and Robbie Shade and Derik Schroeter and Liz Murphy and Winston Churchill and Dave Cole and Ian Reid},
    title = {Navigating, Recognising and Describing Urban Spaces With Vision and Laser},
    journal = {The International Journal of Robotics Research},
    year = {2009},
    volume = {28},
    month = {October},
    bdsk-url-1 = {http://dx.doi.org/10.1177/0278364909341483},
    doi = {10.1177/0278364909341483},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/1406-1433 ijr-341483_Low.pdf},
    keywords = {Urban Classification and, journal_posner},
    }
  • [PDF] [DOI] I. Posner, M. Cummins, and P. Newman, “A generative framework for fast urban labeling using spatial and temporal context.” in Autonomous Robots 2009, vol. 26, pp. 153-170, DOI: 10.1007/s10514-009-9110-6, keywords: “Urban Classification, journal_posner” (link).
    [Bibtex]
    @Article{PosnerEtAl:AuRo09,
    author = {Ingmar Posner and Mark Cummins and Paul Newman},
    title = {A generative framework for fast urban labeling using spatial and temporal context},
    journal = {Autonomous Robots},
    year = {2009},
    volume = {26},
    number = {2-3},
    pages = {153-170},
    month = {April},
    bdsk-url-1 = {http://dx.doi.org/10.1007/s10514-009-9110-6},
    doi = {10.1007/s10514-009-9110-6},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/AURO09_Preprint.pdf},
    keywords = {Urban Classification, journal_posner},
    url = {http://dx.doi.org/10.1007/s10514-009-9110-6},
    }

2008

  • [PDF] I. Posner, M. Cummins, and P. Newman, “Fast Probabilistic Labeling of City Maps,” in Proceedings of Robotics: Science and Systems IV, Zurich, Switzerland, 2008, keywords: “Urban Classification and FABMAP, conference_posner”.
    [Bibtex]
    @InProceedings{PosnerRSS08,
    author = {Ingmar Posner and Mark Cummins and Paul Newman},
    title = {Fast Probabilistic Labeling of City Maps},
    booktitle = {Proceedings of Robotics: Science and Systems IV},
    year = {2008},
    address = {Zurich, Switzerland},
    month = {June},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/LabellingRSS08.pdf},
    keywords = {Urban Classification and FABMAP, conference_posner},
    }
  • [PDF] [DOI] I. Posner, D. Schroeter, and P. Newman, “Online generation of scene descriptions in urban environments.” in Robotics and Autonomous Systems 2008, vol. 56, pp. 901-914, ISSN: 0921-8890, DOI: DOI: 10.1016/j.robot.2008.08.009, keywords: “Semantic robot maps and Outdoor mapping and Support vector machine and Urban Classification, journal_posner”.
    [Bibtex]
    @Article{PosnerEtAl:RAS08,
    author = {Ingmar Posner and Derik Schroeter and Paul Newman},
    title = {Online generation of scene descriptions in urban environments},
    journal = {Robotics and Autonomous Systems},
    year = {2008},
    volume = {56},
    number = {11},
    pages = {901 - 914},
    issn = {0921-8890},
    note = {Semantic Knowledge in Robotics},
    bdsk-url-1 = {http://dx.doi.org/10.1016/j.robot.2008.08.009},
    doi = {DOI: 10.1016/j.robot.2008.08.009},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/RAS08_Preprint.pdf},
    keywords = {Semantic robot maps and Outdoor mapping and Support vector machine and Urban Classification, journal_posner},
    }

2007

  • [PDF] P. Newman, M. Chandran-Ramesh, D. Cole, M. Cummins, A. Harrison, I. Posner, and D. Schroeter, “Describing, Navigating and Recognising Urban Spaces – Building An End-to-End SLAM System,” in Proc. of the Int. Symposium of Robotics Research (ISRR), Hiroshima,Japan, 2007, keywords: “Assesing Map Quality, conference_posner”.
    [Bibtex]
    @InProceedings{newman07isrr,
    author = {Paul Newman and Manjari Chandran-Ramesh and Dave Cole and Mark Cummins and Alastair Harrison and Ingmar Posner and Derik Schroeter},
    title = {Describing, Navigating and Recognising Urban Spaces - Building An End-to-End {SLAM} System},
    booktitle = {Proc. of the Int. Symposium of Robotics Research {(ISRR)}},
    year = {2007},
    address = {Hiroshima,Japan},
    month = {November},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/ISRR07paper.pdf},
    keywords = {Assesing Map Quality, conference_posner},
    }
  • [PDF] I. Posner, D. Schroeter, and P. Newman, “Describing Composite Urban Workspaces,” in Proc. of the Int. Conference on Robotics and Automation, Rome, 2007, keywords: “Urban Classification, conference_posner”.
    [Bibtex]
    @InProceedings{PosnerICRA07,
    author = {Ingmar Posner and Derik Schroeter and Paul Newman},
    title = {Describing Composite Urban Workspaces},
    booktitle = {Proc. of the Int. Conference on Robotics and Automation},
    year = {2007},
    address = {Rome},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/CompositeWorkspacesICRA07.pdf},
    keywords = {Urban Classification, conference_posner},
    }

2006

  • [PDF] I. Posner, D. Schroeter, and P. Newman, “Using Scene Similarity for Place Labelling,” in Proc. of the Int. Symposium on Experimental Robotics, Rio, 2006, keywords: “Semantic robot maps, conference_posner”.
    [Bibtex]
    @InProceedings{PosnerISER06,
    author = {Ingmar Posner and Derik Schroeter and Paul Newman},
    title = {Using Scene Similarity for Place Labelling},
    booktitle = {Proc. of the Int. Symposium on Experimental Robotics},
    year = {2006},
    address = {Rio},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/ISER06FullPaper.pdf},
    keywords = {Semantic robot maps, conference_posner},
    }