Title
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks
Abstract
Deep learning-based methods mymargin have achieved remarkable performance in 3-D sensing since they perceive environments in a biologically inspired manner. Nevertheless, the existing approaches trained by monocular sequences are still prone to fail in dynamic environments. In this work, we mitigate the negative influence of dynamic environments on the joint estimation of depth and visual odometry...
Year
DOI
Venue
2022
10.1109/TNNLS.2021.3100895
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Estimation,Training,Image reconstruction,Biological system modeling,Visual odometry,Sun,Cameras
Journal
33
Issue
ISSN
Citations 
5
2162-237X
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Qiyu Sun122123.66
Yang Tang2131064.50
Chongzhen Zhang320.71
Chaoqiang Zhao421.38
Feng Qian515212.53
Jürgen Kurths62000142.58