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检索条件"机构=Science and Technology on Complex System Control and Intelligent Agent Coopration Laboratory"
453 条 记 录,以下是171-180 订阅
排序:
Transformer based Online Continuous Multi-Target Tracking with State Regression
Transformer based Online Continuous Multi-Target Tracking wi...
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International Conference on control, Automation and Information sciences (ICCAIS)
作者: Xinwei Wei Linxiu Chen Chenyu Zhang Yiru Lin Linao Zhang Xiaokai Liu Jixiang Jiang Wei Yi School of Information and Communication Engineering University of Electronic Science and Technology of China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China
Multi-target Tracking (MTT) is the process of processing received measurements to maintain estimates of the current status of multiple targets, with important applications to autonomous driving, aerial reconnaissance,...
来源: 评论
Meta-ZSDETR: Zero-shot DETR with Meta-learning
Meta-ZSDETR: Zero-shot DETR with Meta-learning
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International Conference on Computer Vision (ICCV)
作者: Lu Zhang Chenbo Zhang Jiajia Zhao Jihong Guan Shuigeng Zhou Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China Department of Computer Science & Technology Tongji University China
Zero-shot object detection aims to localize and recognize objects of unseen classes. Most of existing works face two problems: the low recall of RPN in unseen classes and the confusion of unseen classes with backgroun...
来源: 评论
Gm-APD LiDAR Reconstruction Algorithm with Improved Matched Filtering Based on Negative Binomial Distribution
Gm-APD LiDAR Reconstruction Algorithm with Improved Matched ...
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Academic International Symposium on Optoelectronics and Microelectronics technology (AISOMT)
作者: Hengchang Ou Jianfeng Sun Le Ma Peng Jiang National Key Laboratory of Laser Spatial Information Harbin Institute of Technology Harbin Heilongjiang China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou Henan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
This article addresses the challenges faced by Gm-APD detectors in lidar systems when detecting weak signals. We use a triggering model based on the negative binomial distribution, which replaces the traditional Poiss... 详细信息
来源: 评论
An Interval-Peak-Based Algorithm for Range Image Reconstruction of GM-APD Lidar
An Interval-Peak-Based Algorithm for Range Image Reconstruct...
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Academic International Symposium on Optoelectronics and Microelectronics technology (AISOMT)
作者: Shihang Sun Jianfeng Sun Peng Jiang Hongchao Ni Xin Zhou Le Ma Ruobin Lin National Key Laboratory of Laser Spatial Information Harbin Institute of Technology Harbin Heilongjiang China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou Henan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
GM-APD lidar has single-photon sensitivity, so that it can obtain 3D information of distant targets. On the other hand, the laser echo of targets is easily drowned by noise. In order to solve this problem, an interval... 详细信息
来源: 评论
An Improved RT-DETR-Based Object Detection Algorithm for Gm-APD LiDAR
An Improved RT-DETR-Based Object Detection Algorithm for Gm-...
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Academic International Symposium on Optoelectronics and Microelectronics technology (AISOMT)
作者: Qianxin Wang Jianfeng Sun Peng Jiang Xin Zhou Yuanxue Ding Guanlin Chen National Key Laboratory of Laser Spatial Information Harbin Institute of Technology Harbin Heilongjiang China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou Henan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
Gm-APD LiDAR has a high sensitivity response characteristic, enabling imaging for detecting targets at extended distances, and finds broad utility. However, the highly sensitive response characteristic also makes Gm-A... 详细信息
来源: 评论
Rudder Health Monitoring and Data Visualization Based on Feature Extraction  10
Rudder Health Monitoring and Data Visualization Based on Fea...
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10th IEEE Data Driven control and Learning systems Conference, DDCLS 2021
作者: Zhou, Yajing Sun, Mingwei Hao, Mingrui Chen, Zengqiang College of Artificial Intelligence Nankai University Tianjin300350 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China
In order to monitor the health status of the rudder, this paper proposes a health monitoring method based on deep neural network through feature extraction. First, sufficient samples are obtained by data preprocessing... 详细信息
来源: 评论
An infrared Radar fusion tracking algorithm based on adaptive fault tolerant filtering  40
An infrared Radar fusion tracking algorithm based on adaptiv...
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40th Chinese control Conference, CCC 2021
作者: Peng, Siting Lei, Li Ma, Yichao Youcheng, Wang Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China
In this paper, based on the fusion tracking of infrared and radar, a federated kalman filtering algorithm based on adaptive fault tolerance is designed. According to the observation equation of infrared and radar, a d... 详细信息
来源: 评论
Meta-ZSDETR: Zero-shot DETR with Meta-learning
arXiv
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arXiv 2023年
作者: Zhang, Lu Zhang, Chenbo Zhao, Jiajia Guan, Jihong Zhou, Shuigeng Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China Department of Computer Science & Technology Tongji University China
Zero-shot object detection aims to localize and recognize objects of unseen classes. Most of existing works face two problems: the low recall of RPN in unseen classes and the confusion of unseen classes with backgroun... 详细信息
来源: 评论
Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization  41
Tracking performance limitations of networked control system...
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第41届中国控制会议
作者: Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University
In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with ti... 详细信息
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A Method for Marine Ship Formation Intention Recognition based on BiConvLSTM-Attention
A Method for Marine Ship Formation Intention Recognition bas...
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Electronic Information Engineering and Computer science (EIECS), 2021 International Conference on
作者: Yunqiao Xi Junping Zhang Jian Liu Linlin Wang Hongfeng Xu Linxiu Chen Jixiang Jiang School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Institute of Electrical and Mechanical Engineering Beijing China
To solve the problem that current dynamic intention recognition methods fail to make full use of time domain variation information between multi-temporal group targets, which leads to low accuracy of intention recogni...
来源: 评论