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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
922018
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
542017
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
392019
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
162020
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
132019
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
112019
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
102021
Electroluminescence of Zn2GeO4: Mn through SiC whisker electric field enhancement
B Wagstaff, A Kitai
Journal of Luminescence 167, 310-315, 2015
102015
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
52020
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
42021
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry
B Wagstaff, E Wise, J Kelly
arXiv preprint arXiv:2203.07207, 2022
22022
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks
B Wagstaff, V Peretroukhin, J Kelly
arXiv preprint arXiv:2106.04007, 2021
12021
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, 2022
2022
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