Nicholas Charron

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Citations	300	299
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Sriram NarasimhanUniversity of California, Los AngelesVerified email at ucla.edu
Evan McLaughlinUniversity of WaterlooVerified email at uwaterloo.ca
Steven WaslanderUniversity of TorontoVerified email at robotics.utias.utoronto.ca
Richard NewcombeVP, Research Science at Reality Labs ResearchVerified email at cs.washington.edu
Kevin GoortsPhD, University of WaterlooVerified email at uwaterloo.ca
Jakob EngelResearch Director, Meta Reality Labs ResearchVerified email at meta.com
Carl Yuheng RenFacebook Reality LabsVerified email at carlyuheng.com
Xiaqing PanPh.D. of Electrical Engineering, University of Southern CaliforniaVerified email at usc.edu
Omkar M ParkhiResearch Scientist, FacebookVerified email at fb.com
Thomas WhelanReality Labs Research (Meta)Verified email at meta.com
Zhaoyang LvReality Lab Research, MetaVerified email at meta.com
Chris SweeneyResearch Scientist, Meta Reality LabsVerified email at fb.com
Jake McLaughlinUniversity of Waterloo
Pierre MoulonUniversité Paris-Est, LIGM (UMR CNRS), Center for Visual Computing, ENPCVerified email at imagine.enpc.fr
Huixuan TangComputer Science, University of TorontoVerified email at dgp.toronto.edu

Nicholas Charron

Meta Reality Labs Research, University of Waterloo

Verified email at uwaterloo.ca

ARVR & Robotics for infrastructure inspection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
De-noising of lidar point clouds corrupted by snowfall N Charron, S Phillips, SL Waslander 2018 15th Conference on Computer and Robot Vision (CRV), 254-261, 2018	141	2018
Automated defect quantification in concrete bridges using robotics and deep learning E McLaughlin, N Charron, S Narasimhan Journal of Computing in Civil Engineering 34 (5), 04020029, 2020	67	2020
Automated bridge inspection using mobile ground robotics N Charron, E McLaughlin, S Phillips, K Goorts, S Narasimhan, ... Journal of Structural Engineering 145 (11), 04019137, 2019	42	2019
Combining Deep Learning and Robotics for Automated Concrete Delamination Assessment E McLaughlin, N Charron, S Narasimhan International Symposium on Automation and Robotics in Construction, 2019	20	2019
Project Aria: A new tool for egocentric multi-modal AI research K Somasundaram, J Dong, H Tang, J Straub, M Yan, M Goesele, JJ Engel, ... arXiv preprint arXiv:2308.13561, 2023	15	2023
Aria digital twin: A new benchmark dataset for egocentric 3d machine perception X Pan, N Charron, Y Yang, S Peters, T Whelan, C Kong, O Parkhi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	11	2023
Tightly Coupled, Graph-Based DVL/IMU Fusion and Decoupled Mapping for SLAM-Centric Maritime Infrastructure Inspection A Thoms, G Earle, N Charron, N Sriram IEEE Journal of Oceanic Engineering, 1-14, 2023	2	2023
Aria Everyday Activities Dataset Z Lv, N Charron, P Moulon, A Gamino, C Peng, C Sweeney, E Miller, ... arXiv preprint arXiv:2402.13349, 2024	1	2024
Infrastructure Mapping and Inspection using Mobile Ground Robotics S PHILLIPS, N CHARRON, E MCLAUGHLIN, S NARASIMHAN Structural Health Monitoring 2019, 2019	1	2019
A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System N Charron, SL Waslander, S Narasimhan arXiv preprint arXiv:2303.10729, 2023		2023
Combined Lidar and Sonar Mapping for Partially Submerged Infrastructure A THOMS, G EARLE, N CHARRON, S MALAMA, S NARASIMHAN STRUCTURAL HEALTH MONITORING 2021, 2021		2021
Depth Completion from Sparse 3D Maps for Automated Defect Quantification J McLaughlin, A Thoms, N Charron, S Narasimhan Lifelines 2022, 566-576, 0

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