Off-board augmented fusion for improved target detection and track

The development of a multiple platform distributed fusion capability offers the potential for effective data interchange linking multiple surveillance platforms and centers. Initial off-board derived data can provide the appropriate cues for sector prioritization and sensor resource management. The...

Full description

Saved in:
Bibliographic Details
Main Authors: Liggins, M.E., Bramson, A.
Format: Conference Proceeding
Language:English
Subjects:
Drugs
Joining processes
Object detection
Resource management
Sensor fusion
Surveillance
Target tracking
Testing
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 299 vol.1
container_issue
container_start_page 295
container_title
container_volume ol. 1
creator Liggins, M.E.
Bramson, A.
description The development of a multiple platform distributed fusion capability offers the potential for effective data interchange linking multiple surveillance platforms and centers. Initial off-board derived data can provide the appropriate cues for sector prioritization and sensor resource management. The efficient correlation and fusion of surveillance data from multiple sources with sensors directly on the platform will provide increased situation awareness. This paper discusses a multiplatform distributed fusion architecture under development to provide enhanced cueing and sensor resource management. It shows the current status of ongoing testbed development activities that can be used to provide insight into the proposed architecture. An example is provided to correlate this research to the drug interdiction problem.< >
doi_str_mv 10.1109/ACSSC.1993.342520
format conference_proceeding
fullrecord <record><control><sourceid>proquest_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_342520</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>342520</ieee_id><sourcerecordid>26009297</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-91f5c74655a92b130f1cda82c807d893b5ecdeea00c66291c63dac9548a7521a3</originalsourceid><addsrcrecordid>eNotUE1PwzAUi_iQGGM_AE49cet4SZo0OULFlzRph8G5ektepsLajqRF4t9TNHyxZFuWZcauOSw5B3t3X2021ZJbK5eyEErACZsJVepcSJCn7BIMN7rgAsozNuOgTK6llRdskdIHTCgUN6Bm7GEdQr7tMfoMx11L3UA-C2Nq-i4Lfcya9hD770kbMO5oyDwN5IY_F7tJjOg-r9h5wH2ixT_P2fvT41v1kq_Wz6_V_SpvBMghtzwoVxZaKbRiyyUE7jwa4QyU3li5VeQ8EQI4rYXlTkuPzqrCYKkERzlnt8feadHXSGmo2yY52u-xo35MtdAAVthyCt4cgw0R1YfYtBh_6uNN8he1UVkr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>26009297</pqid></control><display><type>conference_proceeding</type><title>Off-board augmented fusion for improved target detection and track</title><source>IEEE Xplore All Conference Series</source><creator>Liggins, M.E. ; Bramson, A.</creator><creatorcontrib>Liggins, M.E. ; Bramson, A.</creatorcontrib><description>The development of a multiple platform distributed fusion capability offers the potential for effective data interchange linking multiple surveillance platforms and centers. Initial off-board derived data can provide the appropriate cues for sector prioritization and sensor resource management. The efficient correlation and fusion of surveillance data from multiple sources with sensors directly on the platform will provide increased situation awareness. This paper discusses a multiplatform distributed fusion architecture under development to provide enhanced cueing and sensor resource management. It shows the current status of ongoing testbed development activities that can be used to provide insight into the proposed architecture. An example is provided to correlate this research to the drug interdiction problem.&lt; &gt;</description><identifier>ISSN: 1058-6393</identifier><identifier>ISBN: 0818641207</identifier><identifier>ISBN: 9780818641206</identifier><identifier>EISSN: 2576-2303</identifier><identifier>DOI: 10.1109/ACSSC.1993.342520</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Drugs ; Joining processes ; Object detection ; Resource management ; Sensor fusion ; Surveillance ; Target tracking ; Testing</subject><ispartof>27th Asilomar Conference on Signals, Systems, and Computers, 1993, Vol.ol. 1, p.295-299 vol.1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/342520$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,2058,4050,4051,27924,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/342520$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liggins, M.E.</creatorcontrib><creatorcontrib>Bramson, A.</creatorcontrib><title>Off-board augmented fusion for improved target detection and track</title><title>27th Asilomar Conference on Signals, Systems, and Computers</title><addtitle>ACSSC</addtitle><description>The development of a multiple platform distributed fusion capability offers the potential for effective data interchange linking multiple surveillance platforms and centers. Initial off-board derived data can provide the appropriate cues for sector prioritization and sensor resource management. The efficient correlation and fusion of surveillance data from multiple sources with sensors directly on the platform will provide increased situation awareness. This paper discusses a multiplatform distributed fusion architecture under development to provide enhanced cueing and sensor resource management. It shows the current status of ongoing testbed development activities that can be used to provide insight into the proposed architecture. An example is provided to correlate this research to the drug interdiction problem.&lt; &gt;</description><subject>Drugs</subject><subject>Joining processes</subject><subject>Object detection</subject><subject>Resource management</subject><subject>Sensor fusion</subject><subject>Surveillance</subject><subject>Target tracking</subject><subject>Testing</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>0818641207</isbn><isbn>9780818641206</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotUE1PwzAUi_iQGGM_AE49cet4SZo0OULFlzRph8G5ektepsLajqRF4t9TNHyxZFuWZcauOSw5B3t3X2021ZJbK5eyEErACZsJVepcSJCn7BIMN7rgAsozNuOgTK6llRdskdIHTCgUN6Bm7GEdQr7tMfoMx11L3UA-C2Nq-i4Lfcya9hD770kbMO5oyDwN5IY_F7tJjOg-r9h5wH2ixT_P2fvT41v1kq_Wz6_V_SpvBMghtzwoVxZaKbRiyyUE7jwa4QyU3li5VeQ8EQI4rYXlTkuPzqrCYKkERzlnt8feadHXSGmo2yY52u-xo35MtdAAVthyCt4cgw0R1YfYtBh_6uNN8he1UVkr</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Liggins, M.E.</creator><creator>Bramson, A.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1993</creationdate><title>Off-board augmented fusion for improved target detection and track</title><author>Liggins, M.E. ; Bramson, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-91f5c74655a92b130f1cda82c807d893b5ecdeea00c66291c63dac9548a7521a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Drugs</topic><topic>Joining processes</topic><topic>Object detection</topic><topic>Resource management</topic><topic>Sensor fusion</topic><topic>Surveillance</topic><topic>Target tracking</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Liggins, M.E.</creatorcontrib><creatorcontrib>Bramson, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liggins, M.E.</au><au>Bramson, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Off-board augmented fusion for improved target detection and track</atitle><btitle>27th Asilomar Conference on Signals, Systems, and Computers</btitle><stitle>ACSSC</stitle><date>1993</date><risdate>1993</risdate><volume>ol. 1</volume><spage>295</spage><epage>299 vol.1</epage><pages>295-299 vol.1</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>0818641207</isbn><isbn>9780818641206</isbn><abstract>The development of a multiple platform distributed fusion capability offers the potential for effective data interchange linking multiple surveillance platforms and centers. Initial off-board derived data can provide the appropriate cues for sector prioritization and sensor resource management. The efficient correlation and fusion of surveillance data from multiple sources with sensors directly on the platform will provide increased situation awareness. This paper discusses a multiplatform distributed fusion architecture under development to provide enhanced cueing and sensor resource management. It shows the current status of ongoing testbed development activities that can be used to provide insight into the proposed architecture. An example is provided to correlate this research to the drug interdiction problem.&lt; &gt;</abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ACSSC.1993.342520</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1058-6393
ispartof 27th Asilomar Conference on Signals, Systems, and Computers, 1993, Vol.ol. 1, p.295-299 vol.1
issn 1058-6393
2576-2303
language eng
recordid cdi_ieee_primary_342520
source IEEE Xplore All Conference Series
subjects Drugs
Joining processes
Object detection
Resource management
Sensor fusion
Surveillance
Target tracking
Testing
title Off-board augmented fusion for improved target detection and track
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T20%3A08%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Off-board%20augmented%20fusion%20for%20improved%20target%20detection%20and%20track&rft.btitle=27th%20Asilomar%20Conference%20on%20Signals,%20Systems,%20and%20Computers&rft.au=Liggins,%20M.E.&rft.date=1993&rft.volume=ol.%201&rft.spage=295&rft.epage=299%20vol.1&rft.pages=295-299%20vol.1&rft.issn=1058-6393&rft.eissn=2576-2303&rft.isbn=0818641207&rft.isbn_list=9780818641206&rft_id=info:doi/10.1109/ACSSC.1993.342520&rft_dat=%3Cproquest_CHZPO%3E26009297%3C/proquest_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i203t-91f5c74655a92b130f1cda82c807d893b5ecdeea00c66291c63dac9548a7521a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=26009297&rft_id=info:pmid/&rft_ieee_id=342520&rfr_iscdi=true