Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network

Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network

Understanding the surrounding 3D scene is of the utmost importance for many robotic applications. The rapid evolution of machine learning techniques has enabled impressive results when depth is extracted from a single image. High-latency networks are required to achieve these performances, rendering...

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Bibliographic Details
Main Authors: Pedro Nuno Leite, Andry Maykol Pinto
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
CNN
depth estimation
mobile robotics
motion perception
parallax
Online Access:https://ieeexplore.ieee.org/document/9438671/

Internet

https://ieeexplore.ieee.org/document/9438671/

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