PTMOT: A Probabilistic Multiple Object Tracker Enhanced by Tracklet Confidence for Autonomous Driving
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2522-8765
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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PTMOT: A Probabilistic Multiple Object Tracker Enhanced by Tracklet Confidence for Autonomous Driving ; volume:5 ; number:3 ; day:5 ; month:7 ; year:2022 ; pages:260-271 ; date:8.2022
Automotive innovation ; 5, Heft 3 (5.7.2022), 260-271, 8.2022
- Urheber
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Jiang, Kun
Shi, Yining
Zhou, Taohua
Yang, Mengmeng
Yang, Diange
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s42154-022-00185-1
- URN
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urn:nbn:de:101:1-2022100623061132391201
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Jiang, Kun
- Shi, Yining
- Zhou, Taohua
- Yang, Mengmeng
- Yang, Diange
- SpringerLink (Online service)
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