2023
DOI: 10.1109/access.2023.3339152
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SAU-Net: Monocular Depth Estimation Combining Multi-Scale Features and Attention Mechanisms

Wei Zhao,
Yunqing Song,
Tingting Wang

Abstract: Monocular depth estimation technology is widely utilized in autonomous driving for sensing and obstacle avoidance. Recent advancements in deep-learning techniques have resulted in significant progress in monocular depth estimation. However, monocular depth estimation is mainly optimized for the luminosity error of pixels, mostly disregarding the related problems of result ambiguity and boundary artifacts in the image. To address these issues, we developed an improved network model called SAU-Net. The superposi… Show more

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