WeaveNet: Solution for Variable Input Sparsity Depth Completion
LIDARs produce depth measurements, which are relatively sparse when compared with cameras. Current state-of-the-art solutions for increasing the density of LIDAR-derived depth maps rely on training the models for specific input measurement density. This assumption can easily be violated. The goal of...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/14/2222 |