Performance Impacts on Unmanned Vehicle and Sensor Capabilities for Standoff Mine Detection in the Very Shallow Water, Surf Zone, and Beach Zone
Loading...
Authors
Klamo, Joseph
Kragelund, Sean P.
Gozzi, Benjamin
Loberg, Ronan
Subjects
mine
very shallow water
VSW
surf zone
SZ
beach zone
BZ
detection
sensing
standoff
unmanned
mine countermeasures
MCM
explosive ordnance disposal
EOD
very shallow water
VSW
surf zone
SZ
beach zone
BZ
detection
sensing
standoff
unmanned
mine countermeasures
MCM
explosive ordnance disposal
EOD
Advisors
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Monterey, California. Naval Postgraduate School.
Language
en_US
Abstract
The Very Shallow Water, Surf Zone, and Beach Zone (VSW/SZ/BZ) environments present extreme challenges for the safe standoff detection of objects, such as mines, explosive ordnance, or natural obstacles such as rocks and shoals. Wave action adversely impacts the performance of conventional unmanned underwater vehicles (UUVs) and remotely operated vehicles (ROVs) that employ sonar or optical imaging sensors. Unmanned aerial vehicles (UAVs) or bottom crawling vehicles that use different sensing modalities may be more effective in these environments. Research is needed to quantify the limitations of current standoff detection sensors deployed from mine countermeasures (MCM) vehicles and recommend promising alternatives for future technology development. This study has two main research objectives. First, we will work with project sponsors and subject matter experts to identify and compare the current state of various technologies for standoff detection of explosive ordnance in the VSW/SZ/BZ. Second, we will leverage NPS experimental capabilities to assess the performance impacts on different MCM vehicles and sensors subjected to wave disturbances in VSW/SZ environments. Specifically, we will conduct semi-captive tests of different MCM vehicle types in a tow tank with wave making capability to simulate VSW/SZ conditions. The measured wave-induced motion profiles will be used to analyze the effects of platform motion on the detection performance of conventional imaging sensors using standard object detection algorithms. Understanding the capabilities of existing technologies, and how they can be expected to perform in these challenging domains, will help inform programs of record and guide future technology investment by the US Navy and US Marine Corps. Research Project ID NPS-21-J212 combines two Topic/Research Projects: NPS-21-M212 and elements of NPS-21-N271.
Type
Poster
Description
NPS NRP Project Poster
Series/Report No
Department
Systems Engineering
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
Marine Corps Forces Command (COMMARFORCOM)
Navy Expeditionary Combat Command
Navy Expeditionary Combat Command
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.