Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework
• Develop a model for the situation-sensitive vehicle detection. • Develop a Faster R-CNN model with Domain Adaptation. • Propose a framework for situation-sensitive traffic flow parameter estimation. • Collect two datasets for this research.
Autor*in: |
Li, Jinlong [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide - Rohit, Jigneshkumar V. ELSEVIER, 2016, an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:124 ; year:2021 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.trc.2020.102946 |
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ELV053138791 |
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10.1016/j.trc.2020.102946 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001301.pica (DE-627)ELV053138791 (ELSEVIER)S0968-090X(20)30843-3 DE-627 ger DE-627 rakwb eng 530 620 VZ 50.22 bkl 35.07 bkl Li, Jinlong verfasserin aut Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Develop a model for the situation-sensitive vehicle detection. • Develop a Faster R-CNN model with Domain Adaptation. • Propose a framework for situation-sensitive traffic flow parameter estimation. • Collect two datasets for this research. Deep learning Elsevier Vehicle detection Elsevier Traffic flow parameter Elsevier Domain adaptation Elsevier Xu, Zhigang oth Fu, Lan oth Zhou, Xuesong oth Yu, Hongkai oth Enthalten in Elsevier Science Rohit, Jigneshkumar V. ELSEVIER Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide 2016 an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control Amsterdam [u.a.] (DE-627)ELV001932888 volume:124 year:2021 pages:0 https://doi.org/10.1016/j.trc.2020.102946 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 50.22 Sensorik VZ 35.07 Chemisches Labor chemische Methoden VZ AR 124 2021 0 |
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10.1016/j.trc.2020.102946 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001301.pica (DE-627)ELV053138791 (ELSEVIER)S0968-090X(20)30843-3 DE-627 ger DE-627 rakwb eng 530 620 VZ 50.22 bkl 35.07 bkl Li, Jinlong verfasserin aut Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Develop a model for the situation-sensitive vehicle detection. • Develop a Faster R-CNN model with Domain Adaptation. • Propose a framework for situation-sensitive traffic flow parameter estimation. • Collect two datasets for this research. Deep learning Elsevier Vehicle detection Elsevier Traffic flow parameter Elsevier Domain adaptation Elsevier Xu, Zhigang oth Fu, Lan oth Zhou, Xuesong oth Yu, Hongkai oth Enthalten in Elsevier Science Rohit, Jigneshkumar V. ELSEVIER Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide 2016 an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control Amsterdam [u.a.] (DE-627)ELV001932888 volume:124 year:2021 pages:0 https://doi.org/10.1016/j.trc.2020.102946 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 50.22 Sensorik VZ 35.07 Chemisches Labor chemische Methoden VZ AR 124 2021 0 |
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Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework |
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• Develop a model for the situation-sensitive vehicle detection. • Develop a Faster R-CNN model with Domain Adaptation. • Propose a framework for situation-sensitive traffic flow parameter estimation. • Collect two datasets for this research. |
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