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Woods Hole Oceanographic Institution

Ryan Eustice

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Publications
»Exactly sparse extended information filters for feature-based SLAM
»Experimental Results in Synchronous-clock One-Way-Travel-time Acoustic Navigation for Autonomous Underwater Vehicles
»Visually augmented navigation for autonomous underwater vehicles
»Underwater Vehicle Navigation: Recent Advances and New Challenges
»Visually Mapping the RMS Titanic: Convervative Covariance Estimates for SLAM Information Filters
»Recent Advances in Synchronous-Clock One-Way-Travel-Time Acoustic Navigation
»Characterizing the deep insular shelf coral reef habitat of the Hind Bank marine conservation district (US Virgin Islands) using the Seabed autonomous underwater vehicle
»Visually Augmented Navigation for Autonomous Underwater Vehicles
»Towards High-Resolution Imaging from Underwater Vehicles
»Exactly Sparse Delayed-State Filters for View-Based SLAM
»Photogrammetric Models for Marine Archaeology
»A provably consistent method for imposing sparsity in feature-based SLAM information filters
»Exactly Sparse Delayed-State Filters
»Sparse Extended Information Filters: Insights into Sparsification
»Visually Navigating the RMS Titanic with SLAM Information Filters
»Large-Area Visually Augmented Navigation for Autonomous Underwater Vehicles
»Towards Bathymetry-Optimized Doppler Re-navigation for AUVs
»Advances in high-resolution imaging from underwater vehicles
»A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
»Advances in High-Resolution Imaging from Underwater Vehicles
»Large Area 3D Reconstructions from Underwater Surveys
»Imaging Coral I: Imaging Coral Habitats with The SeaBED AUV
»SeaBED AUV Offers New Platform for High-Resolution Imaging
»Visually Augmented Navigation in an Unstructured Environment Using a Delayed State History
»Relative Pose Estimation for Instrumented, Calibrated Imaging Platforms
»The Seabed AUV - A Platform for High Resolution Imaging
»Sensor Fusion of Structure-from-Motion, Bathymetric 3D, and Beacon-Based Navigation Modalities
»UWIT: Underwater Image Toolbox for Optical Image Processing and Mosaicking in MATLAB
»A New Autonomous Underwater Vehicle for Imaging Research
»Image Registration Underwater for Fluid Flow Measurements and Mosaicking


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J.C. Kinsey, R.M. Eustice, and L.L. Whitcomb, Underwater Vehicle Navigation: Recent Advances and New Challenges, Proc. IFAC Conf. on Manoeuvring and Control of Marine Craft, Lisbon, Portugal, Sep. 2006, In Press.

Abstract
The paper surveys recent advances in underwater vehicle navigation and identifies future research challenges. Improvements in underwater navigation sensor technology and underwater navigation algorithms are enabling novel underwater vehicles and novel underwater vehicle missions. This paper first reviews advances in underwater navigation sensor technology. Second, advances in deterministic and stochastic underwater navigation methodologies and algorithms are reviewed. Finally, future challenges in underwater vehicle navigation are articulated, including near-bottom navigation, vehicle state estimation, optimal survey, environmental estimation, multiple-vehicle navigation, and mid-water navigation. Advances in vehicle navigation will enable new missions for underwater vehicle (commercial, scientific, and military) which were previously considered impractical or infeasible.

@INPROCEEDINGS{jkinsey-2006a,
author = {Kinsey, J.C. and Eustice, R.M. and Whitcomb, L.L.},
title = {Underwater vehicle navigation: recent advances and new challenges},
booktitle = {IFAC Conf. on Manoeuvring and Control of Marine Craft},
year = {2006},
address = {Lisbon, Portugal},
month = sep,
note = {{In Press}},
keywords = {underwater navigation, LBL, OWTT, acoustic navigation, doppler, DVL},
}

FILE » jkinsey-2006a.pdf



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