Tightly Coupled, Graph-Based DVL/IMU Fusion and Decoupled Mapping for SLAM-Centric Maritime Infrastructure Inspection
Author:
Affiliation:
1. Sensing and Robotics for Infrastructure Laboratory, University of California Los Angeles, Los Angeles, CA, USA
2. Structural Dynamics Identification and Controls Laboratory, University of Waterloo, Waterloo, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
University of California
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering
Link
http://xplorestaging.ieee.org/ielx7/48/10183384/10149804.pdf?arnumber=10149804
Reference57 articles.
1. A New Robust Kalman Filter for SINS/DVL Integrated Navigation System
2. Supplementary material to: IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation;forster,2015
3. A Novel SINS/DVL Tightly Integrated Navigation Method for Complex Environment
4. Contour Detection in Unstructured 3D Point Clouds
5. Precision navigation and mapping under bridges with an unmanned surface vehicle
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