Ocean Bottom High-Resolution 3-D Photogrammetric Mapping to Enhance Unmanned Maritime Vehicle Navigation
Abstract
This proposed research project will develop algorithms for improved navigation of unmanned surface vehicles and autonomous maritimevehicles which are currently limited in navigational accuracy by factors inherent in the use of Global Positioning System (GPS) technology. GPS accuracy can be affected by factors such as signal blockage and multipath, atmospheric interference, and satellite orbit geometry and availability. New algorithms which will improve navigational accuracy and reliability will be based on three-dimension (3D) photogrammetry results. The proposed project will collect and analyze ocean bottom coral reef topography data along the coast of Puerto Rico over a two-year period, mapping changes in time due to ocean bottom biological activity and growth. Experimentalcollections every three months will provide a statistically significant data set which will enable numerical evaluation of data to show the potential of improved navigational accuracy using 3D photogrammetrydata. Analysis will be conducted to develop and evaluate Simultaneous Localization and Mapping (SLAM) algorithms, examining SLAM algorithm efficiency and reliability as time produces changes in mapped coral reef topography. In addition, analysis will characterize change and growth as a function of time in individual coral reef species located in the chosen data collection fields, with an emphasis on how each species characteristic growth rates effect the accuracy and robustness of navigational algorithms.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 13, 2024
- Source ID
- N000142412366
Entities
People
- Gary Davis
Organizations
- Office of Naval Research
- United States Navy