Jonathan Kelly

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	Toutes	Depuis 2020
Citations	4927	2304
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Gaurav SukhatmeProfessor, Departments of CS and ECE, USCAdresse e-mail validée de usc.edu
Valentin PeretroukhinComputational Research Scientist, Structura BiotechnologyAdresse e-mail validée de structura.bio
Matthew GiamouMcMaster UniversityAdresse e-mail validée de mcmaster.ca
Brandon WagstaffUniversity of TorontoAdresse e-mail validée de robotics.utias.utoronto.ca
Lee ClementOxaAdresse e-mail validée de oxbotica.ai
Ivan PetrovicUniverstiy of Zagreb Faculty of Electrical Engineering and Computing, CroatiaAdresse e-mail validée de fer.unizg.hr
Oliver LimoyoUniversity of Toronto Institute for Aerospace StudiesAdresse e-mail validée de mail.utoronto.ca
Trevor AblettPhD Candidate, University of Toronto Institute for Aerospace StudiesAdresse e-mail validée de mail.utoronto.ca
Nicholas RoyMITAdresse e-mail validée de csail.mit.edu
Filip MarićFaculty of Mathematics, University of BelgradeAdresse e-mail validée de matf.bg.ac.rs
Timothy D BarfootProfessor, University of Toronto (UTIAS)Adresse e-mail validée de utoronto.ca
Ryan N. SmithAssociate Professor, Fort Lewis CollegeAdresse e-mail validée de fortlewis.edu
Ludovic RighettiNew York University and Artificial and Natural Intelligence Toulouse InstituteAdresse e-mail validée de nyu.edu
Olivier LamarreUniversity of Toronto Institute for Aerospace StudiesAdresse e-mail validée de robotics.utias.utoronto.ca
Luka PetrovicUniversity of Zagreb Faculty of Electrical Engineering and ComputingAdresse e-mail validée de fer.unizg.hr
Soroush KhoubyarianUniversity of TorontoAdresse e-mail validée de mail.utoronto.ca
Mrinal KalakrishnanAI Research Scientist, Meta FAIRAdresse e-mail validée de meta.com
Peter PastorRoboticist, GoogleAdresse e-mail validée de google.com
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceAdresse e-mail validée de google.com
Will Vega-BrownDoctoral Candidate, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu

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Jonathan Kelly

University of Toronto Institute for Aerospace Studies

Adresse e-mail validée de utias.utoronto.ca - Page d'accueil

Collaborative Robotics Mobile Manipulation Multimodal Sensing Computer Vision Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Learning bayesian networks from data: an information-theory based approach WL J. Cheng, R. Greiner, J. Kelly, D. Bell Artificial Intelligence 137 (1-2), 43-90, 2002	1467*	2002
Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration J Kelly, GS Sukhatme The International Journal of Robotics Research 30 (1), 56-79, 2011	683	2011
A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures MR Jahanshahi, JS Kelly, SF Masri, GS Sukhatme Structure and Infrastructure Engineering 5 (6), 455-486, 2009	216	2009
LSTM-based zero-velocity detection for robust inertial navigation B Wagstaff, J Kelly 2018 International Conference on Indoor Positioning and Indoor Navigation …, 2018	156	2018
SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	120	2023
Combined visual and inertial navigation for an unmanned aerial vehicle J Kelly, S Saripalli, GS Sukhatme Field and Service Robotics: Results of the 6th International Conference, 255-264, 2008	114	2008
A general framework for temporal calibration of multiple proprioceptive and exteroceptive sensors J Kelly, GS Sukhatme Experimental Robotics: The 12th International Symposium on Experimental …, 2014	108	2014
An autonomous manipulation system based on force control and optimization L Righetti, M Kalakrishnan, P Pastor, J Binney, J Kelly, RC Voorhies, ... Autonomous Robots 36, 11-30, 2014	107	2014
Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration J Kelly, GS Sukhatme 2009 IEEE International Symposium on Computational Intelligence in Robotics …, 2009	101	2009
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	81	2020
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	78	2017
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	74	2019
Dpc-net: Deep pose correction for visual localization V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 3 (3), 2424-2431, 2017	64	2017
Fast relative pose calibration for visual and inertial sensors J Kelly, GS Sukhatme Experimental Robotics: The Eleventh International Symposium, 515-524, 2009	59	2009
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	58	2015
Riemannian optimization for distance-geometric inverse kinematics F Marić, M Giamou, AW Hall, S Khoubyarian, I Petrović, J Kelly IEEE Transactions on Robotics 38 (3), 1703-1722, 2021	45	2021
Cello: A fast algorithm for covariance estimation W Vega-Brown, A Bachrach, A Bry, J Kelly, N Roy 2013 IEEE International Conference on Robotics and Automation, 3160-3167, 2013	42	2013
Towards the improvement of autonomous glider navigational accuracy through the use of regional ocean models RN Smith, J Kelly, Y Chao, BH Jones, GS Sukhatme International Conference on Offshore Mechanics and Arctic Engineering 49125 …, 2010	42	2010
Learning task error models for manipulation P Pastor, M Kalakrishnan, J Binney, J Kelly, L Righetti, G Sukhatme, ... 2013 IEEE International Conference on Robotics and Automation, 2612-2618, 2013	41	2013
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	40	2017

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