Title
Behavior Prediction for Unmanned Driving Based on Dual Fusions of Feature and Decision
Abstract
Behavioral decision systems may suffer from poor performance due to the failure in capturing the vibrations of environmental information. To better capture such vibrations and then make more accurate predictions, a parallel deep neural network based on dual fusions including feature and decision is proposed, called DFFD-Net. DFFD-NET is composed of two parts, the feature fusion network and the dri...
Year
DOI
Venue
2021
10.1109/TITS.2020.3037926
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Task analysis,Decision making,Trajectory,Visualization,Deep learning,Data models,Computer science
Journal
22
Issue
ISSN
Citations 
6
1524-9050
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Shan Zhong194.71
Meng Wei200.34
Sheng-Rong Gong3219.91
Kaijian Xia4458.07
Yuchen Fu500.68
Qiming Fu635.84
Hongsheng Yin7144.75