Radar-Camera Fusion Network for Depth Estimation in Structured Driving Scenes
Shuguang Li,
Jiafu Yan,
Haoran Chen
et al.
Abstract:Depth estimation is an important part of the perception system in autonomous driving. Current studies often reconstruct dense depth maps from RGB images and sparse depth maps obtained from other sensors. However, existing methods often pay insufficient attention to latent semantic information. Considering the highly structured characteristics of driving scenes, we propose a dual-branch network to predict dense depth maps by fusing radar and RGB images. The driving scene is divided into three parts in the propo… Show more
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