KPNDepth: Depth Estimation of Lane Images under Complex Rainy Environment

Recent advancements in deep neural networks have improved depth estimation in clear, daytime driving scenarios. However, existing methods struggle with rainy conditions due to rain streaks and fog, which distort depth estimation. This paper introduces a novel dual-layer convolutional kernel predicti...

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Bibliographische Detailangaben

1. Verfasser:	Shi, Zhengxu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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