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Brandon Wagstaff
Brandon Wagstaff
Verified email at robotics.utias.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
LSTM-based zero-velocity detection for robust inertial navigation
B Wagstaff, J Kelly
2018 International Conference on Indoor Positioning and Indoor Navigation …, 2018
1382018
Improving foot-mounted inertial navigation through real-time motion classification
B Wagstaff, V Peretroukhin, J Kelly
2017 International Conference on Indoor Positioning and Indoor Navigation …, 2017
712017
Robust data-driven zero-velocity detection for foot-mounted inertial navigation
B Wagstaff, V Peretroukhin, J Kelly
IEEE Sensors Journal 20 (2), 957-967, 2019
612019
Learned camera gain and exposure control for improved visual feature detection and matching
J Tomasi, B Wagstaff, SL Waslander, J Kelly
IEEE Robotics and Automation Letters 6 (2), 2028-2035, 2021
342021
Self-supervised deep pose corrections for robust visual odometry
B Wagstaff, V Peretroukhin, J Kelly
2020 IEEE International Conference on Robotics and Automation (ICRA), 2331-2337, 2020
262020
Self-supervised scale recovery for monocular depth and egomotion estimation
B Wagstaff, J Kelly
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
252021
Deep Probabilistic Regression of Elements of SO (3) using Quaternion Averaging and Uncertainty Injection.
V Peretroukhin, B Wagstaff, J Kelly
CVPR Workshops, 83-86, 2019
152019
Probabilistic regression of rotations using quaternion averaging and a deep multi-headed network
V Peretroukhin, B Wagstaff, M Giamou, J Kelly
arXiv preprint arXiv:1904.03182, 2019
132019
A self-supervised, differentiable Kalman filter for uncertainty-aware visual-inertial odometry
B Wagstaff, E Wise, J Kelly
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2022
102022
Electroluminescence of Zn2GeO4: Mn through SiC whisker electric field enhancement
B Wagstaff, A Kitai
Journal of Luminescence 167, 310-315, 2015
102015
On the coupling of depth and egomotion networks for self-supervised structure from motion
B Wagstaff, V Peretroukhin, J Kelly
IEEE Robotics and Automation Letters 7 (3), 6766-6773, 2022
72022
Self-supervised pre-training of 3d point cloud networks with image data
A Janda, B Wagstaff, EG Ng, J Kelly
arXiv preprint arXiv:2211.11801, 2022
62022
Heteroscedastic uncertainty for robust generative latent dynamics
O Limoyo, B Chan, F Marić, B Wagstaff, AR Mahmood, J Kelly
IEEE Robotics and Automation Letters 5 (4), 6654-6661, 2020
62020
Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning
X Liu, D Esser, B Wagstaff, A Zavodni, N Matsuura, J Kelly, E Diller
Scientific Reports 12 (1), 21130, 2022
52022
Contrastive learning for self-supervised pre-training of point cloud segmentation networks with image data
A Janda, B Wagstaff, EG Ng, J Kelly
2023 20th Conference on Robots and Vision (CRV), 145-152, 2023
22023
Self-supervised structure-from-motion through tightly-coupled depth and egomotion networks
B Wagstaff, V Peretroukhin, J Kelly
arXiv preprint arXiv:2106.04007 7, 2021
22021
Data-Driven Models for Robust Egomotion Estimation
B Wagstaff
University of Toronto (Canada), 2023
12023
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