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检索条件"机构=The Key Laboratory of Machine Intelligence and System Control"
673 条 记 录,以下是431-440 订阅
排序:
An IMU Error Correction Method Based on Multithreshold ZV Detection and SRCKF
An IMU Error Correction Method Based on Multithreshold ZV De...
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Cyber-Physical Social intelligence (ICCSI), International Conference on
作者: Jialiang Luo Shichao Chen Yisheng Lv Wenqiao Sun Fan Yang Ruijie Xu The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Information Engineering China University of Geosciences Beijing China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Transportation and Economics Research Institute and the Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited China The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences College of Rail Transit Shan Dong JiaoTong University Jinan China Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic University Hong Kong China
With the rapid development and widespread application of Inertial Measurement Units (IMUs), IMU-based human localization has become critically important in environments lacking Global Navigation Satellite systems (GNS...
来源: 评论
The Performance Evaluation of SSVEP-BCI Actuated Wheelchair with Parameter Setting of Time-Window Length and Stimulation Layout
The Performance Evaluation of SSVEP-BCI Actuated Wheelchair ...
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Workshop on Metrology for Industry 4.0 and IoT
作者: Jun Xie Xiaojun Wu Peng Fang Guanglin Li Guozhi Cao Tao Xue Science and Technology on Electrooptic Control Laboratory Luoyang China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Shenzhen China School of Mechanical Engineering Xi'an Jiaotong University Xi'an China
Due to the advantages of prominent brain responses, less training duration, and robustness to artifacts, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been recently applied to i... 详细信息
来源: 评论
A Computationally Efficient and Refined Signal control Method for Isolated Intersections in a Connected Vehicle Environment
SSRN
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SSRN 2023年
作者: Dai, Rongjian Ding, Chuan Cai, Pinlong Wang, Xu Yu, Bin Zhang, Ruhua School of Qilu Transportation Shandong University Jinan China School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control Beihang University Beijing China Shanghai Artificial Intelligence Laboratory Shanghai China
With the advent of connected vehicles (CVs), much richer and more accurate data become available for more flexible and sophisticated traffic signal control. Existing CV-based signal control methods were hard to solve ... 详细信息
来源: 评论
Efficient 3D Deep LiDAR Odometry
arXiv
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arXiv 2021年
作者: Wang, Guangming Wu, Xinrui Jiang, Shuyang Liu, Zhe Wang, Hesheng Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of Artificial Intelligence of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China
An efficient 3D point cloud learning architecture, named EfficientLO-Net, for LiDAR odometry is first proposed in this paper. In this architecture, the projection-aware representation of the 3D point cloud is proposed... 详细信息
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Research on Event-B based formal modeling and verification of automatic production line
Research on Event-B based formal modeling and verification o...
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第28届中国控制与决策会议
作者: Kaiming-FU Bin Fang Yafen-LI Huijie-LI College of Electronic and Control Engineering Beijing University of Technology The Ministry of Education P.R.C.Engineering Research Center of Digital Community Beijing Laboratory for Urban Mass Transit Beijing Key Laboratory of Computational Intelligence and Intelligent System
Before the automatic production line put into practical use in industrial domain,it must go through a large number of long-term rigorous test to detect errors in the design *** in the actual test process,the same mist... 详细信息
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An active fault-tolerant control strategy of aircraft engines based on multi-model predictive control
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International Journal of Turbo and Jet Engines 2020年 第0期
作者: Du, Xian Ma, Yan-Hua School of Control Science and Engineering Dalian University of Technology Dalian China Jiangsu Province Key Laboratory of Aerospace Power System Nanjing China School of Microelectronics Dalian University of Technology Dalian China DUT Artificial Intelligence Institute Dalian China
In order to mitigate or even eliminate the adverse effects caused by typical components faults of aircraft engines, an active fault-tolerant strategy based on multi-model predictive control is proposed, which consists... 详细信息
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Strike a Balance in Continual Panoptic Segmentation
arXiv
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arXiv 2024年
作者: Chen, Jinpeng Cong, Runmin Luo, Yuxuan Ip, Horace Ho Shing Kwong, Sam Department of Computer Science City University of Hong Kong Hong Kong School of Control Science and Engineering Shandong University Shandong Jinan China Key Laboratory of Machine Intelligence and System Control Ministry of Education Shandong Jinan China Centre for Innovative Applications of Internet and Multimedia Technologies City University of Hong Kong Hong Kong Lingnan University Hong Kong
This study explores the emerging area of continual panoptic segmentation, highlighting three key balances. First, we introduce past-class backtrace distillation to balance the stability of existing knowledge with the ... 详细信息
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Traffic Flow Prediction via Weighted Combination of ARIMA and WASDNN Models
Traffic Flow Prediction via Weighted Combination of ARIMA an...
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第33届中国控制与决策会议
作者: Xiao Liu Yunong Zhang Min Yang Zhongxian Xue Chengxu Ye School of Electronics and Information Technology Sun Yat-sen University Guangdong Key Laboratory of Modern Control Technology Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education School of Data and Computer Science Sun Yat-sen University School of Computer Science Qinghai Normal University
The modeling and prediction of traffic flow are important in transportation study and traffic network *** from individual models,a hybrid model which is a combination of autoregressive integrated moving average(ARIMA)... 详细信息
来源: 评论
Distributed Air-Assisted Coverage control for Sensing-Limited Multi-Robot systems in Time-Varying Environment
Distributed Air-Assisted Coverage Control for Sensing-Limite...
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Fully Actuated system Theory and Applications (CFASTA), Conference on
作者: Hang Zhang Ronghao Zheng Lingxia Lu Senlin Zhang Meiqin Liu College of Electrical Engineering Zhejiang University Hangzhou China National Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China Jinhua Institute of Zhejiang University Jinhua China National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Xi’an Jiaotong University Xi’an China
In the multi-robot coverage control application, a group of ground robots tries to optimize the environment coverage performance. However, most of the existing works consider that the environment is static and the gro... 详细信息
来源: 评论
Self-Organized Criticality in C. Elegans Neural Network
Self-Organized Criticality in C. Elegans Neural Network
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Chinese control Conference (CCC)
作者: Xiao Gu Jian Liu Ye Yuan Peng Zhao Kuankuan Xin Tao Fang Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Shanghai Engineering Research Centre of Intelligent Control and Management Shanghai China Institute of Machine Intelligence University of Shanghai for Science and Technology Shanghai China Queensland Brain Institute The University of Queensland Brisbane QLD Australia
The self-organized criticality is a fundamental property for organisms to perform normal functional activities. Extensive large-scale biological neural network researches have found the existence of self-organized cri...
来源: 评论