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Paul Ozog
Paul Ozog
Toyota Research Institute
Verified email at umich.edu - Homepage
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Cited by
Year
High‐resolution underwater robotic vision‐based mapping and three‐dimensional reconstruction for archaeology
M Johnson‐Roberson, M Bryson, A Friedman, O Pizarro, G Troni, P Ozog, ...
Journal of Field Robotics 34 (4), 625-643, 2017
842017
Long‐term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle
P Ozog, N Carlevaris‐Bianco, A Kim, RM Eustice
Journal of Field Robotics 33 (3), 265-289, 2016
682016
Building 3D mosaics from an autonomous underwater vehicle, doppler velocity log, and 2D imaging sonar
P Ozog, G Troni, M Kaess, RM Eustice, M Johnson-Roberson
2015 IEEE International Conference on Robotics and Automation (ICRA), 1137-1143, 2015
272015
Bathymetric factor graph SLAM with sparse point cloud alignment
V Bichucher, JM Walls, P Ozog, KA Skinner, RM Eustice
OCEANS 2015-MTS/IEEE Washington, 1-7, 2015
242015
Toward long-term, automated ship hull inspection with visual SLAM, explicit surface optimization, and generic graph-sparsification
P Ozog, RM Eustice
2014 IEEE International Conference on Robotics and Automation (ICRA), 3832-3839, 2014
242014
On the importance of modeling camera calibration uncertainty in visual SLAM
P Ozog, RM Eustice
2013 IEEE International Conference on Robotics and Automation, 3777-3784, 2013
242013
Real-time SLAM with piecewise-planar surface models and sparse 3D point clouds
P Ozog, RM Eustice
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
232013
Mapping underwater ship hulls using a model-assisted bundle adjustment framework
P Ozog, M Johnson-Roberson, RM Eustice
Robotics and Autonomous Systems 87, 329-347, 2017
202017
Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive bayesian estimation
J Li, P Ozog, J Abernethy, RM Eustice, M Johnson-Roberson
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
162016
Online probabilistic change detection in feature-based maps
F Nobre, C Heckman, P Ozog, RW Wolcott, JM Walls
2018 IEEE International Conference on Robotics and Automation (ICRA), 3661-3668, 2018
132018
Robust visual fiducials for skin-to-skin relative ship pose estimation
JG Mangelson, RW Wolcott, P Ozog, RM Eustice
OCEANS 2016 MTS/IEEE Monterey, 1-8, 2016
102016
Pose-graph slam for underwater navigation
SM Chaves, E Galceran, P Ozog, JM Walls, RM Eustice
Sensing and Control for Autonomous Vehicles, 143-160, 2017
72017
Identifying structural anomalies in image reconstructions of underwater ship hulls
P Ozog, RM Eustice
OCEANS 2015-MTS/IEEE Washington, 1-7, 2015
52015
Adapting the USRP as an underwater acoustic modem
P Ozog, M Leeser, M Stojanovic
Poster Presentation, High Performance Embedded Computing, 2009
52009
System and method for online probabilistic change detection in feature-based maps
F Nobre, JM Walls, PJ Ozog
US Patent 10,710,599, 2020
42020
Large-scale model-assisted bundle adjustment using Gaussian max-mixtures
P Ozog, RM Eustice
2016 IEEE International Conference on Robotics and Automation (ICRA), 5576-5581, 2016
32016
System and method for improving the representation of line features
PJ Ozog
US Patent 10,740,645, 2020
22020
Real-time 6-DOF SLAM for a quadrotor helicopter
S Chaves, S Cohen, P O’Keefe, P Ozog, PO Keefe
Course Final Project, University of Michigan, 2011
22011
Systems and methods for annotating maps to improve sensor calibration
PJ Ozog, RW Wolcott, SH Cohen
US Patent 10,989,562, 2021
12021
Advances in Simultaneous Localization and Mapping in Confined Underwater Environments Using Sonar and Optical Imaging.
P Ozog
12016
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