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Chinese Academy of Sciences Institutional Repositories Grid
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A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4312-4334
作者:  
Zhang, Tantan;  Sun, Yueshuo;  Wang, Yazhou;  Li, Bai;  Tian, Yonglin
  |  收藏  |  浏览/下载:92/0  |  提交时间:2024/07/03
Research and development of integrated software platform for Intelligent Drilling System 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 1, 页码: 139-152
作者:  
Fu ChangMin;  Wang XiaoTian;  Di QingYun
  |  收藏  |  浏览/下载:20/0  |  提交时间:2023/03/30
Research and progress of Intelligent Drilling Technology System and related theories 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 1, 页码: 1-15
作者:  
Zhu RiXiang;  Jin ZhiJun;  Di QingYun;  Yang ChangChun;  Chen WenXuan
  |  收藏  |  浏览/下载:26/0  |  提交时间:2023/03/30
A quantitative pre-warning for coal burst hazardous zones in a deep coal mine based on the spatio-temporal forecast of microseismic events 期刊论文  OAI收割
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 卷号: 159, 期号: -, 页码: 1105
作者:  
Chen, Jie;  Zhu, Chao;  Du, Junsheng;  Pu, Yuanyuan;  Pan, Pengzhi
  |  收藏  |  浏览/下载:12/0  |  提交时间:2023/08/02
Risk perception and intelligent decision in complex social information network 期刊论文  OAI收割
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 12
作者:  
Wu, Desheng;  Song, Jingxiu;  Bian, Yuan;  Zheng, Xiaolong;  Zhang, Zhu
  |  收藏  |  浏览/下载:37/0  |  提交时间:2021/03/08
遥感影像服务微信公众号设计与实现 学位论文  OAI收割
北京: 中国科学院大学, 2020
作者:  
颜瑜严
  |  收藏  |  浏览/下载:76/0  |  提交时间:2021/12/10
An Integrating Platform of Ratiometric Fluorescent Adsorbent for Unconventional Real-Time Removing and Monitoring of Copper Ions 期刊论文  OAI收割
ACS APPLIED MATERIALS & INTERFACES, 2020, 卷号: 12, 期号: 11
作者:  
Du, Ting;  Wang, Jing;  Zhang, Tianshu;  Zhang, Liang;  Yang, Chengyuan
  |  收藏  |  浏览/下载:37/0  |  提交时间:2020/11/25
A Platform for Coastline Monitoring System by Unmanned Surface Vessel 会议论文  OAI收割
Shanghai, China, May 29-31, 2019
作者:  
Xu HL(徐红丽);  Li GN(李冠男);  Geng C(耿超)
  |  收藏  |  浏览/下载:25/0  |  提交时间:2019/08/29
An intelligent video surveillance system (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Gao S.
收藏  |  浏览/下载:15/0  |  提交时间:2013/03/25
This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties  banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time  the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.  
Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文  OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform  visual guidance intelligent vehicle JLUIV-5  is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system  and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model  and two-degree steering dynamic model of vehicle  the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results  carry out in Jilin University Nanling Campus and Culture Center of Jilin Province  show that the image identify algorithms  and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain  it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.