Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion
It is challenging to apply depth maps generated from sparse laser scan data to computer vision tasks, such as robot vision and autonomous driving, because of the sparsity and noise in the data. To overcome this problem, depth completion tasks have been proposed to produce a dense depth map from spar...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9078070/ |