Stephanie Lowry

Assistant Professor

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room: T1221
Phone: No Phone Number Available
Email: No Email Address Available

Google Scholar

I am an Assistant Professor in Computer Science at the Center for Applied Autonomous Sensor Systems (AASS). My research interests focus on how robots and other autonomous systems recognise and understand the world around them using visual perception.

My position is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP) research program.


Publications

[1] U. Norinder and S. Lowry. Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction. Remote Sensing Letters, 14(10):1023-1035, 2023 [ BibTeX | DiVA ]
[2] P. Kurtser and S. Lowry. RGB-D datasets for robotic perception in site-specific agricultural operations : A survey. Computers and Electronics in Agriculture, 212, 2023 [ BibTeX | DiVA ]
[3] H. Andreasson, J. Larsson and S. Lowry. A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization. Sensors, 22(7), 2022 [ BibTeX | DiVA | PDF ]
[4] T. P. Kucner, M. Luperto, S. Lowry, M. Magnusson and A. Lilienthal. Robust Frequency-Based Structure Extraction. In 2021 IEEE International Conference on Robotics and Automation (ICRA), pages 1715-1721, 2021 [ BibTeX | DiVA | PDF ]
[5] D. Adolfsson, S. Lowry, M. Magnusson, A. J. Lilienthal and H. Andreasson. A Submap per Perspective : Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. In 2019 European Conference on Mobile Robots (ECMR) 2019 [ BibTeX | DiVA | PDF ]
[6] S. Lowry. Similarity criteria : evaluating perceptual change for visual localization. In 2019 European Conference on Mobile Robots (ECMR) 2019 [ BibTeX | DiVA | PDF ]
[7] D. Adolfsson, S. Lowry and H. Andreasson. Improving Localisation Accuracy using Submaps in warehouses. 2018 [ BibTeX | DiVA | PDF ]
[8] S. Lowry and H. Andreasson. Lightweight, Viewpoint-Invariant Visual Place Recognition in Changing Environments. IEEE Robotics and Automation Letters, 3(2):957-964, 2018 [ BibTeX | DiVA ]
[9] S. Lowry and H. Andreasson. LOGOS : Local geometric support for high-outlier spatial verification. , pages 7262-7269, 2018 [ BibTeX | DiVA ]
[10] S. Lowry and M. Milford. Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments. IEEE Transactions on robotics, 32(3):600-613, 2016 [ BibTeX | DiVA ]
[11] S. Lowry, N. Sunderhauf, P. Newman, J. Leonard, D. Cox, P. Corke and M. Milford. Visual Place Recognition : A Survey. IEEE Transactions on robotics, 32(1):1-19, 2016 [ BibTeX | DiVA ]
[12] S. Lowry and H. Andreasson. 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 2016 [ BibTeX | DiVA | PDF ]
[13] Z. Chen, S. Lowry, A. Jacobson, M. E. Hasselmo and M. Milford. Bio-inspired homogeneous multi-scale place recognition. Neural Networks, 72:48-61, 2015 [ BibTeX | DiVA ]
[14] S. Lowry and M. Milford. 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, pages 3071-3078, 2015 [ BibTeX | DiVA ]
[15] Z. Chen, S. Lowry, A. Jacobson, Z. Ge and M. Milford. Distance metric learning for feature-agnostic place recognition. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2556-2563, 2015 [ BibTeX | DiVA ]
[16] M. Milford, C. Shen, S. Lowry, N. Sünderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Cadena, B. Upcroft and I. Reid. 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, pages 18-25, 2015 [ BibTeX | DiVA ]