Paul Ozog
Paul Ozog
Toyota Research Institute
Verified email at umich.edu - Homepage
Title
Cited by
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
552017
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
492016
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
222015
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
212014
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
212013
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
152015
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
142017
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
142016
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
132013
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), 1-9, 2018
102018
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
62016
Adapting the usrp as an underwater acoustic modem
P Ozog, M Leeser, M Stojanovic
Poster Presentation, High Performance Embedded Computing, 2009
52009
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
42017
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
Identifying structural anomalies in image reconstructions of underwater ship hulls
P Ozog, RM Eustice
OCEANS 2015-MTS/IEEE Washington, 1-7, 2015
32015
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 App. 16/033,275, 2020
12020
System and method for online probabilistic change detection in feature-based maps
F Nobre, JM Walls, PJ Ozog
US Patent App. 15/906,565, 2019
12019
Advances in simultaneous localization and mapping in confined underwater environments using sonar and optical imaging
P Ozog
University of Michigan Ann Arbor United States, 2016
12016
Crowdsourcing annotations of roadway information
PJ Ozog, RW Wolcott
US Patent App. 16/298,347, 2020
2020
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