NPS ARIES Forward Look Sonar Integration
This work integrated an experimental Blazed Array Forward Looking Sonar (FLS) developed by the University of Washington, Applied Physics Laboratories into the ARIES autonomous underwater vehicle (AUV). Experiments were conducted and data were gathered using this sonar in a variety of environments. T...
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creator | Healey, A J Horner, D P |
description | This work integrated an experimental Blazed Array Forward Looking Sonar (FLS) developed by the University of Washington, Applied Physics Laboratories into the ARIES autonomous underwater vehicle (AUV). Experiments were conducted and data were gathered using this sonar in a variety of environments. The images generated were analyzed to provide information for use in the further development of forward look obstacle detection and avoidance technologies. The year-end goal of the project was to collect FLS data and make it available to researchers interested in developing obstacle avoidance behaviors for AUVs. To develop robust obstacle avoidance algorithms for underwater vehicles it is necessary to understand how the sonar performs on an underway underwater vehicle and to have a sample data set from an underway vehicle for the developmental modeling and simulation of vehicle control and image processing. The approach was to bring together a team from the University of Washington and the Naval Postgraduate School to integrate a low power, small forward looking sonar into the ARIES AUV. They decided on quarterly collections which would culminate in the permanent installation of the Blazed Array onto the ARIES AUV so that the vehicle could be used continuously for data collection, the evaluation of obstacle avoidance behaviors, and eventually, concurrent mapping and localization. |
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Experiments were conducted and data were gathered using this sonar in a variety of environments. The images generated were analyzed to provide information for use in the further development of forward look obstacle detection and avoidance technologies. The year-end goal of the project was to collect FLS data and make it available to researchers interested in developing obstacle avoidance behaviors for AUVs. To develop robust obstacle avoidance algorithms for underwater vehicles it is necessary to understand how the sonar performs on an underway underwater vehicle and to have a sample data set from an underway vehicle for the developmental modeling and simulation of vehicle control and image processing. The approach was to bring together a team from the University of Washington and the Naval Postgraduate School to integrate a low power, small forward looking sonar into the ARIES AUV. They decided on quarterly collections which would culminate in the permanent installation of the Blazed Array onto the ARIES AUV so that the vehicle could be used continuously for data collection, the evaluation of obstacle avoidance behaviors, and eventually, concurrent mapping and localization.</description><language>eng</language><subject>ACOUSTIC DETECTION ; Acoustic Detection and Detectors ; AUTONOMOUS NAVIGATION ; AUV(AUTONOMOUS UNDERWATER VEHICLES) ; COLLISION AVOIDANCE ; Cybernetics ; DATA ACQUISITION ; FORWARD LOOKING ; IMAGE PROCESSING ; LOW POWER ; OBSTACLE AVOIDANCE ; OBSTACLE DETECTION ; OCEAN BOTTOM TOPOGRAPHY ; SELF OPERATION ; SONAR IMAGES ; Submarine Engineering ; TARGET DETECTION ; Underwater and Marine Navigation and Guidance ; UNDERWATER VEHICLES ; UUV(UNMANNED UNDERWATER VEHICLES) ; WIRELESS COMPUTER NETWORKS</subject><creationdate>2004</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27566,27567</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA484036$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Healey, A J</creatorcontrib><creatorcontrib>Horner, D P</creatorcontrib><creatorcontrib>NAVAL POSTGRADUATE SCHOOL MONTEREY CA CENTER FOR AUTONOMOUS UNDERWATER VEHICLE RESEARCH</creatorcontrib><title>NPS ARIES Forward Look Sonar Integration</title><description>This work integrated an experimental Blazed Array Forward Looking Sonar (FLS) developed by the University of Washington, Applied Physics Laboratories into the ARIES autonomous underwater vehicle (AUV). Experiments were conducted and data were gathered using this sonar in a variety of environments. The images generated were analyzed to provide information for use in the further development of forward look obstacle detection and avoidance technologies. The year-end goal of the project was to collect FLS data and make it available to researchers interested in developing obstacle avoidance behaviors for AUVs. To develop robust obstacle avoidance algorithms for underwater vehicles it is necessary to understand how the sonar performs on an underway underwater vehicle and to have a sample data set from an underway vehicle for the developmental modeling and simulation of vehicle control and image processing. The approach was to bring together a team from the University of Washington and the Naval Postgraduate School to integrate a low power, small forward looking sonar into the ARIES AUV. They decided on quarterly collections which would culminate in the permanent installation of the Blazed Array onto the ARIES AUV so that the vehicle could be used continuously for data collection, the evaluation of obstacle avoidance behaviors, and eventually, concurrent mapping and localization.</description><subject>ACOUSTIC DETECTION</subject><subject>Acoustic Detection and Detectors</subject><subject>AUTONOMOUS NAVIGATION</subject><subject>AUV(AUTONOMOUS UNDERWATER VEHICLES)</subject><subject>COLLISION AVOIDANCE</subject><subject>Cybernetics</subject><subject>DATA ACQUISITION</subject><subject>FORWARD LOOKING</subject><subject>IMAGE PROCESSING</subject><subject>LOW POWER</subject><subject>OBSTACLE AVOIDANCE</subject><subject>OBSTACLE DETECTION</subject><subject>OCEAN BOTTOM TOPOGRAPHY</subject><subject>SELF OPERATION</subject><subject>SONAR IMAGES</subject><subject>Submarine Engineering</subject><subject>TARGET DETECTION</subject><subject>Underwater and Marine Navigation and Guidance</subject><subject>UNDERWATER VEHICLES</subject><subject>UUV(UNMANNED UNDERWATER VEHICLES)</subject><subject>WIRELESS COMPUTER NETWORKS</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2004</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZNDwCwhWcAzydA1WcMsvKk8sSlHwyc_PVgjOz0ssUvDMK0lNL0osyczP42FgTUvMKU7lhdLcDDJuriHOHropJZnJ8cUlmXmpJfGOLo4mFiYGxmbGBKQBssMkMw</recordid><startdate>200401</startdate><enddate>200401</enddate><creator>Healey, A J</creator><creator>Horner, D P</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>200401</creationdate><title>NPS ARIES Forward Look Sonar Integration</title><author>Healey, A J ; Horner, D P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA4840363</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2004</creationdate><topic>ACOUSTIC DETECTION</topic><topic>Acoustic Detection and Detectors</topic><topic>AUTONOMOUS NAVIGATION</topic><topic>AUV(AUTONOMOUS UNDERWATER VEHICLES)</topic><topic>COLLISION AVOIDANCE</topic><topic>Cybernetics</topic><topic>DATA ACQUISITION</topic><topic>FORWARD LOOKING</topic><topic>IMAGE PROCESSING</topic><topic>LOW POWER</topic><topic>OBSTACLE AVOIDANCE</topic><topic>OBSTACLE DETECTION</topic><topic>OCEAN BOTTOM TOPOGRAPHY</topic><topic>SELF OPERATION</topic><topic>SONAR IMAGES</topic><topic>Submarine Engineering</topic><topic>TARGET DETECTION</topic><topic>Underwater and Marine Navigation and Guidance</topic><topic>UNDERWATER VEHICLES</topic><topic>UUV(UNMANNED UNDERWATER VEHICLES)</topic><topic>WIRELESS COMPUTER NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>Healey, A J</creatorcontrib><creatorcontrib>Horner, D P</creatorcontrib><creatorcontrib>NAVAL POSTGRADUATE SCHOOL MONTEREY CA CENTER FOR AUTONOMOUS UNDERWATER VEHICLE RESEARCH</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Healey, A J</au><au>Horner, D P</au><aucorp>NAVAL POSTGRADUATE SCHOOL MONTEREY CA CENTER FOR AUTONOMOUS UNDERWATER VEHICLE RESEARCH</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>NPS ARIES Forward Look Sonar Integration</btitle><date>2004-01</date><risdate>2004</risdate><abstract>This work integrated an experimental Blazed Array Forward Looking Sonar (FLS) developed by the University of Washington, Applied Physics Laboratories into the ARIES autonomous underwater vehicle (AUV). Experiments were conducted and data were gathered using this sonar in a variety of environments. The images generated were analyzed to provide information for use in the further development of forward look obstacle detection and avoidance technologies. The year-end goal of the project was to collect FLS data and make it available to researchers interested in developing obstacle avoidance behaviors for AUVs. To develop robust obstacle avoidance algorithms for underwater vehicles it is necessary to understand how the sonar performs on an underway underwater vehicle and to have a sample data set from an underway vehicle for the developmental modeling and simulation of vehicle control and image processing. The approach was to bring together a team from the University of Washington and the Naval Postgraduate School to integrate a low power, small forward looking sonar into the ARIES AUV. They decided on quarterly collections which would culminate in the permanent installation of the Blazed Array onto the ARIES AUV so that the vehicle could be used continuously for data collection, the evaluation of obstacle avoidance behaviors, and eventually, concurrent mapping and localization.</abstract><oa>free_for_read</oa></addata></record> |
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source | DTIC Technical Reports |
subjects | ACOUSTIC DETECTION Acoustic Detection and Detectors AUTONOMOUS NAVIGATION AUV(AUTONOMOUS UNDERWATER VEHICLES) COLLISION AVOIDANCE Cybernetics DATA ACQUISITION FORWARD LOOKING IMAGE PROCESSING LOW POWER OBSTACLE AVOIDANCE OBSTACLE DETECTION OCEAN BOTTOM TOPOGRAPHY SELF OPERATION SONAR IMAGES Submarine Engineering TARGET DETECTION Underwater and Marine Navigation and Guidance UNDERWATER VEHICLES UUV(UNMANNED UNDERWATER VEHICLES) WIRELESS COMPUTER NETWORKS |
title | NPS ARIES Forward Look Sonar Integration |
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