Multi‐scale features fusion from sparse LiDAR data and single image for depth completion

Author:

Wang Benzhang1,Feng Yiliu1,Liu Hengzhu1

Affiliation:

1. National University of Defense TechnologyChangshaPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LAM-Depth: Laplace-Attention Module-Based Self-Supervised Monocular Depth Estimation;IEEE Transactions on Intelligent Transportation Systems;2024

2. Revisiting Deformable Convolution for Depth Completion;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion;Machine Vision and Applications;2023-07-29

4. SADG-Net: Sparse Adaptive Dynamic Guidance Network for Depth Completion;2022 IEEE International Conference on Multimedia and Expo (ICME);2022-07-18

5. Triaxial Squeeze Attention Module and Mutual-Exclusion Loss Based Unsupervised Monocular Depth Estimation;Neural Processing Letters;2022-05-31

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