Paper Info
Title
DeepFuseNet of Omnidirectional Far-Infrared and Visual Stream for Vegetation Detection
Abstract
This article investigates the application of deep learning (DL) to the fusion of omnidirectional (O-D) infrared (IR) sensors and O-D visual sensors to improve the intelligent perception of autonomous robotic systems. Recent techniques primarily focus on O-D and conventional visual sensors for applications in localization, mapping, and tracking. The robotic vision systems have not sufficiently util...
Year
DOI
Venue
2021
10.1109/TGRS.2020.3044487
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Visualization,Feature extraction,Robots,Sensors,Vegetation mapping,Cameras,Sensor fusion
Journal
59
Issue
ISSN
Citations 
11
0196-2892
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
David L. Stone100.34
Sumved Ravi200.34
Emrah Benli321.76
Yuichi Motai423024.68