Self-Supervised Monocular Depth Estimation With Extensive Pretraining

Self-Supervised Monocular Depth Estimation With Extensive Pretraining

Although depth estimation is a key technology for three-dimensional sensing applications involving motion, active sensors such as LiDAR and depth cameras tend to be expensive and bulky. Here, we explore the potential of monocular depth estimation (MDE) based on a self-supervised approach. MDE is a p...

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Bibliographic Details
Main Author: Hyukdoo Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Monocular depth estimation
depth prediction
convolutional neural networks
self-supervised learning
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/9622207/

Internet

https://ieeexplore.ieee.org/document/9622207/

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