Valentin Peretroukhin
Valentin Peretroukhin
Postdoctoral Associate, MIT
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Cited by
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The battle for filter supremacy: A comparative study of the multi-state constraint kalman filter and the sliding window filter
LE Clement, V Peretroukhin, J Lambert, J Kelly
2015 12th Conference on Computer and Robot Vision, 23-30, 2015
Reducing drift in visual odometry by inferring sun direction using a bayesian convolutional neural network
V Peretroukhin, L Clement, J Kelly
2017 IEEE International Conference on Robotics and Automation (ICRA), 2035-2042, 2017
Dpc-net: Deep pose correction for visual localization
V Peretroukhin, J Kelly
IEEE Robotics and Automation Letters 3 (3), 2424-2431, 2017
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
PROBE: Predictive robust estimation for visual-inertial navigation
V Peretroukhin, L Clement, M Giamou, J Kelly
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
PROBE-GK: Predictive robust estimation using generalized kernels
V Peretroukhin, W Vega-Brown, N Roy, J Kelly
2016 IEEE International Conference on Robotics and Automation (ICRA), 817-824, 2016
Optimizing camera perspective for stereo visual odometry
V Peretroukhin, J Kelly, TD Barfoot
2014 Canadian Conference on Computer and Robot Vision, 1-7, 2014
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
Certifiably globally optimal extrinsic calibration from per-sensor egomotion
M Giamou, Z Ma, V Peretroukhin, J Kelly
IEEE Robotics and Automation Letters 4 (2), 367-374, 2019
Towards autonomous mobile robots for the exploration of steep terrain
B Stenning, L Bajin, C Robson, V Peretroukhin, GR Osinski, TD Barfoot
Field and Service Robotics, 33-47, 2015
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
Inferring sun direction to improve visual odometry: A deep learning approach
V Peretroukhin, L Clement, J Kelly
The International Journal of Robotics Research 37 (9), 996-1016, 2018
Improving the accuracy of stereo visual odometry using visual illumination estimation
L Clement, V Peretroukhin, J Kelly
International Symposium on Experimental Robotics, 409-419, 2016
Self-Supervised Deep Pose Corrections for Robust Visual Odometry
B Wagstaff, V Peretroukhin, J Kelly
arXiv preprint arXiv:2002.12339, 2020
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
A Smooth Representation of Belief over SO (3) for Deep Rotation Learning with Uncertainty
V Peretroukhin, M Giamou, DM Rosen, WN Greene, N Roy, J Kelly
arXiv preprint arXiv:2006.01031, 2020
Robust Air Data Reconstruction: On the Use Of Robust Cost Functions For Flight Path Reconstruction Applications
GJ Moszczynski, V Peretroukhin, PR Grant
2018 AIAA Atmospheric Flight Mechanics Conference, 0771, 2018
Get to the point: Active covariance scaling for feature tracking through motion blur
V Peretroukhin, L Clement, J Kelly
Pan 1, 0, 2015
Learned Improvements to the Visual Egomotion Pipeline
V Peretroukhin
University of Toronto, 2020
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]
L Clement, V Peretroukhin, M Giamou, J Leonard, H Kress-Gazit, J How, ...
IEEE Robotics & Automation Magazine 26 (3), 7-10, 2019
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