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.
Gespeichert in:
| 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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Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework |
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