Dataset Generation Process for Enhancing Depth Estimation Network in Autonomous Driving

Dataset Generation Process for Enhancing Depth Estimation Network in Autonomous Driving

To ensure the safety of autonomous vehicles, accurately perceiving the spatial information of the surrounding environment is crucial. Supervised learning-based camera depth estimation networks can be used for this purpose. However, training these networks requires high-quality depth datasets, but ex...

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Bibliographic Details
Main Authors: Jinsu Ha, Kichun Jo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous driving
deep learning
depth estimation
LiDAR
training dataset
Online Access:https://ieeexplore.ieee.org/document/10654251/

Internet

https://ieeexplore.ieee.org/document/10654251/

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