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Stephanie Lowry

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

Email:

Phone: +46 19 301351

Room: T1221

Stephanie Lowry

About Stephanie Lowry

I am a Researcher in Computer Science at the Center for Applied Autonomous Sensor Systems (AASS). I have a PhD in Engineering from Queensland University of Technology in Australia, and a MSc in Computer Science from Victoria University of Wellington in New Zealand.

I am interested in how robots and other autonomous systems recognise the world around them, and in particular, how they can continue to recognise the world around them when it is visually changing.

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, September 4-6, 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.