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Stephanie Lowry

Title: Researcher School/office: School of Science and Technology

Email:

Phone: +46 19 301351

Room: T1221

Stephanie Lowry

Research Projects

Research Projects

Research Teams

Publications

Publications

Articles in journals |  Conference papers | 

Articles in journals

Lowry, S. & Andreasson, H. (2018). Lightweight, Viewpoint-Invariant Visual Place Recognition in Changing Environments. IEEE Robotics and Automation Letters, 3 (2), 957-964.
Lowry, S. , Sunderhauf, N. , Newman, P. , Leonard, J. , Cox, D. , Corke, P. & Milford, M. (2016). Visual Place Recognition: A Survey. IEEE Transactions on robotics, 32 (1), 1-19.
Chen, Z. , Lowry, S. , Jacobson, A. , Hasselmo, M. E. & Milford, M. (2015). Bio-inspired homogeneous multi-scale place recognition. Neural Networks, 72, 48-61.

Conference papers

Adolfsson, D. , Lowry, S. , Magnusson, M. , Lilienthal, A. J. & Andreasson, H. (2019). A Submap per Perspective: Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. In: 2019 European Conference on Mobile Robots (ECMR). Paper presented at European Conference on Mobile Robotics (ECMR), Prague, Czech Republic, September 4 - 6, 2019. IEEE.
Lowry, S. (2019). Similarity criteria: evaluating perceptual change for visual localization. In: 2019 European Conference on Mobile Robots (ECMR). Paper presented at ECMR 2019 : 9th European Conference on Mobile Robots, Prague, Czech Republic, 4-6 Sept., 2019. IEEE.
Adolfsson, D. , Lowry, S. & Andreasson, H. (2018). Improving Localisation Accuracy using Submaps in warehouses. Paper presented at IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Workshop on Robotics for Logistics in Warehouses and Environments Shared with Humans, Madrid, Spain, October 5, 2018.
Lowry, S. & Andreasson, H. (2018). LOGOS: Local geometric support for high-outlier spatial verification. Paper presented at IEEE International Conference of Robotics and Automation (ICRA 2018), Brisbane, Australia, May 21-25, 2018 (pp. 7262-7269). IEEE Computer Society.
Lowry, S. & Andreasson, H. (2016). Visual place recognition techniques for pose estimation in changing environments. In: Visual Place Recognition: What is it Good For? workshop, Robotics Science and Systems (RSS) 2016. Paper presented at Visual Place Recognition: What is it Good For? workshop, Robotics: Science and Systems (RSS) 2016, Ann Arbor, MI, USA, 19 June, 2016.
Lowry, S. & Milford, M. (2015). Building Beliefs: Unsupervised Generation of Observation Likelihoods for Probabilistic Localization in Changing Environments. In: IEEE International Conference on Intelligent Robots and Systems (IROS), IEEE, 2015. Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg, Germany, 29 Sep - 2 Oct, 2015 (pp. 3071-3078). New York, USA: IEEE.
Chen, Z. , Lowry, S. , Jacobson, A. , Ge, Z. & Milford, M. (2015). Distance metric learning for feature-agnostic place recognition. In: Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 28 - October 2, 2015 (pp. 2556-2563). IEEE.
Milford, M. , Shen, C. , Lowry, S. , Sünderhauf, N. , Shirazi, S. , Lin, G. , Liu, F. , Pepperell, E. & et al. (2015). Sequence Searching With Deep-Learnt Depth for Condition- and Viewpoint-Invariant Route-Based Place Recognition. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Paper presented at 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Boston, MA, USA, June 7-12, 2015 (pp. 18-25). IEEE conference proceedings.