Dergi makalesi Açık Erişim
Sonmez, Hasan Huseyin; Hocaoglu, Ali Koksal
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/236868</identifier> <creators> <creator> <creatorName>Sonmez, Hasan Huseyin</creatorName> <givenName>Hasan Huseyin</givenName> <familyName>Sonmez</familyName> <affiliation>Gebze Tech Univ, Dept Elect Engn, TR-41400 Kocaeli, Turkey</affiliation> </creator> <creator> <creatorName>Hocaoglu, Ali Koksal</creatorName> <givenName>Ali Koksal</givenName> <familyName>Hocaoglu</familyName> <affiliation>Gebze Tech Univ, Dept Elect Engn, TR-41400 Kocaeli, Turkey</affiliation> </creator> </creators> <titles> <title>Asynchronous Track-To-Track Association Algorithm Based On Reference Topology Feature</title> </titles> <publisher>Aperta</publisher> <publicationYear>2022</publicationYear> <dates> <date dateType="Issued">2022-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/236868</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/s11760-021-02019-9</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">In multi-sensor multi-target tracking systems, the different sensors provide their detections at different times due to having different sampling periods or communication delays. Therefore, for track-to-track association algorithms, it is not realistic to assume that sensors are synchronous. In this paper, we propose an asynchronous track-to-track association algorithm based on reference topology feature. For synchronization of sensor tracks, a one-step, memoryless track propagation scheme is used. The proposed method handles both the asynchronous and synchronous sensors. An improved performance is achieved by using the generalized sub-patterns assignment metric to calculate the association costs between two reference topologies. The proposed algorithm also provides an improved performance for the synchronized sensors case.</description> </descriptions> </resource>
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