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面向移动机器人的室内环境物体语义主动获取与增量学习方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2021
Authors:  韩小宁
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移动机器人  语义信息获取  物体发现  主动物体识别  类别增量学习  
Semantic mapping for mobile robots in indoor scenes: A survey 期刊论文
Information (Switzerland), 2021, 卷号: 12, 期号: 2, 页码: 1-14
Authors:  Han XN(韩小宁);  Li SL(李帅龙);  Wang XH(王晓辉)
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Acquisition of semantic information  Indoor scenes  Map representation  Mobile robots  Semantic mapping  
A plane extraction approach in inverse depth images based on region-growing 期刊论文
Sensors (Switzerland), 2021, 卷号: 21, 期号: 4, 页码: 1-15
Authors:  Han XN(韩小宁);  Wang XH(王晓辉);  Leng YQ(冷雨泉)
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plane extraction  region growing  RGBD camera  normal estimation  
一种仿人眼视觉跟踪装置及其控制方法 专利
专利类型: 发明授权, 专利号: CN109693235B, 公开日期: 2019-04-30, 授权日期: 2020-11-20
Inventors:  张会文;  张伟;  付明亮;  陈正仓;  冷雨泉;  蔺兆宝;  韩小宁
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一种仿人眼视觉跟踪装置及其控制方法 专利
专利类型: 发明, 专利号: CN109693235A, 公开日期: 2019-04-30, 授权日期: 2020-11-20
Inventors:  张会文;  张伟;  付明亮;  陈正仓;  冷雨泉;  蔺兆宝;  韩小宁
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一种基于在线自学习的个性化新闻投放系统及方法 专利
专利类型: 发明, 专利号: CN109697255A, 公开日期: 2019-04-30,
Inventors:  张会文;  张伟;  冷雨泉;  陈正仓;  付明亮;  韩小宁;  蔺兆宝
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Active object detection with multistep action prediction using deep q-network 期刊论文
IEEE Transactions on Industrial Informatics, 2019, 卷号: 15, 期号: 6, 页码: 3723-3731
Authors:  Han XN(韩小宁);  Liu HP(刘华平);  Sun FC(孙富春);  Zhang, Xinyu
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Active object detection  active vision  deep Q-learning network (DQN)  dueling architecture  reinforcement learning  
ANN based interwell connectivity analysis in cyber-physical petroleum systems 会议论文
Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019, Helsinki-Espoo, Finland, July 22-25, 2019
Authors:  Cheng HB(程海波);  Han XN(韩小宁);  Zeng P(曾鹏);  Yu HB(于海斌);  Osipov, Evgeny;  Vyatkin, Valeriy
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waterflooded reservoir, interwell connectivity  artificial neural network (ANN)  long short-term memory (LSTM)  cyber-physical petroleum systems(CPPS)  
无权访问的条目 会议论文
Authors:  Zhang HW(张会文);  Han XN(韩小宁);  Zhang W(张伟)
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Active Object Detection Using Double DQN and Prioritized Experience Replay 会议论文
Proceedings of the International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, July 8-13, 2018
Authors:  Han XN(韩小宁);  Liu H(刘华平);  Sun FC(孙富春);  Yang, Dongfang
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