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Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4640-4652
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
Adobe PDF(11285Kb)  |  收藏  |  浏览/下载：273/57  |  提交时间：2020/03/30
Target tracking  Feature extraction  Object detection  Search problems  Proposals  Visualization  Detectors  Autonomous aerial refueling (AAR)  deep learning  object detection  object tracking  reinforcement learning  
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:  Dong Li;  Dongbin Zhao;  Qichao Zhang;  Yaran Chen
Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：355/102  |  提交时间：2019/04/25
Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  
Lane change decision-making through deep reinforcement learning with rule-based constraints 会议论文
, Budapest, Hungary, 2019-7
作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌);  Chen YR(陈亚冉)
Adobe PDF(295Kb)  |  收藏  |  浏览/下载：99/31  |  提交时间：2023/05/30
Lane Change  Decision-making  Deep Reinforcement Learning  Deep Q-Network  
Deep Reinforcement Learning for Query-Conditioned Video Summarization 期刊论文
Applied Sciences - Basel, 2019, 卷号: 9, 期号: 4, 页码: 750-765
作者:  Yujia Zhang;  Michael Kampffmeyer;  Xiaoguang Zhao;  Min Tan
浏览  |  Adobe PDF(3674Kb)  |  收藏  |  浏览/下载：260/78  |  提交时间：2019/05/05
Query-conditioned Video Summarization  Deep Reinforcement Learning  Visual-text Embedding  Temporal Modeling  Vision Application  
Decision Controller for Object Tracking With Deep Reinforcement Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 28069-28079
作者:  Zhong, Zhao;  Yang, Zichen;  Feng, Weitao;  Wu, Wei;  Hu, Yangyang;  Liu, Cheng-Lin
Adobe PDF(2984Kb)  |  收藏  |  浏览/下载：579/198  |  提交时间：2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning