Learning depth from single images with deep neural network embedding focal length

L He, G Wang, Z Hu - IEEE Transactions on Image Processing, 2018 - ieeexplore.ieee.org
Learning depth from a single image, as an important issue in scene understanding, has
attracted a lot of attention in the past decade. The accuracy of the depth estimation has been …

Monocular Absolute Depth Estimation from Motion for Small Unmanned Aerial Vehicles by Geometry-Based Scale Recovery

C Zhang, X Weng, Y Cao… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
In recent years, there has been extensive research and application of unsupervised
monocular depth estimation methods for intelligent vehicles. However, a major limitation of …

Research on self-supervised depth estimation algorithm of driving scene based on monocular vision

Z Xie, S Zhou, M Zheng, F Pei - Signal, Image and Video Processing, 2023 - Springer
A self-supervised algorithm based on deep learning is designed to estimate the depth of the
driving scene. The depth estimation network and pose estimation network designed based …

Object depth measurement and filtering from monocular images for unmanned aerial vehicles

C Zhang, Y Cao, M Ding, X Li - Journal of Aerospace Information …, 2022 - arc.aiaa.org
The flight safety of low-altitude small fixed-wing unmanned aerial vehicles (UAVs) is often
threatened by obstacles such as buildings. This requires UAVs to have the ability to …

Object depth measurement from monocular images based on feature segments

C Zhang, Y Cao, M Ding - 2019 12th International Symposium …, 2019 - ieeexplore.ieee.org
Depth measurement technology plays an important role in the field of machine vision, and
the depth measurement methods based on monocular vision have received more and more …

Error Analysis of Object Depth Measurement Method Based on Feature Line Segments

C Zhang, Y Cao, M Ding, D Wei - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This paper focuses on the problem of object depth measurement in ultra-low altitude flight,
which has always been a research hotspot in the field of machine vision. Compared with the …