VATLD : A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Networks (CNNs) and have exhibited promising performance. However, one looming concern with CNN based detectors is how to thoro...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 2 vom: 12. Feb., Seite 261-271
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| 1. Verfasser: |
Gou, Liang
(VerfasserIn) |
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| Weitere Verfasser: |
Zou, Lincan,
Li, Nanxiang,
Hofmann, Michael,
Shekar, Arvind Kumar,
Wendt, Axel,
Ren, Liu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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