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浏览/检索结果: 共9条，第1-9条 帮助

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Real-Time Scheduling of Autonomous Mining Trucks via Flow Allocation-Accelerated Tabu Search 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 466-479
作者:  Zhang, Xiaotong;  Guo, Ao;  Ai, Yunfeng;  Tian, Bin;  Chen, Long
  |  收藏  |  浏览/下载：30/0  |  提交时间：2022/11/28
Integrated Timetable Rescheduling for Multidispatching Sections of High-Speed Railways During Large-Scale Disruptions 期刊论文  OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 10
作者:  Zhou, Min;  Dong, Hairong;  Liu, Xuan;  Zhang, Hongjie;  Wang, Fei-Yue
  |  收藏  |  浏览/下载：36/0  |  提交时间：2022/01/27
Real-Time Social Transportation with Online Social Signals 期刊论文  OAI收割
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 3, 页码: 909-914
作者:  Wang FY(王飞跃)
收藏  |  浏览/下载：15/0  |  提交时间：2017/03/07
Scanning the Issue and Beyond: Real-Time Social Transportation with Online Social Signals 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 3, 页码: 909-914
作者:  Wang, Fei-Yue
收藏  |  浏览/下载：17/0  |  提交时间：2015/08/12
Special Issue on Artificial Transportation Systems and Simulation 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 卷号: 12, 期号: 2, 页码: 309-312
作者:  Rossetti, Rosaldo J. F.;  Liu, Ronghui;  Tang, Shuming
收藏  |  浏览/下载：15/0  |  提交时间：2015/11/08
Guest editorial special issue on artificial transportation systems and simulation 期刊论文  OAI收割
IEEE Transactions on Intelligent Transportation Systems, 2011, 卷号: 12, 期号: 2, 页码: 309-312
作者:  Rossetti, Rosaldo J. F.;  Liu, Ronghui;  Tang, Shuming
收藏  |  浏览/下载：20/0  |  提交时间：2015/08/12
Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文  OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T.
收藏  |  浏览/下载：68/0  |  提交时间：2013/03/25
In the transportation monitor system  we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that  motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately  the arithmetic proposed in the paper can suppress shadow availably  we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter  detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.  and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle  we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering  
Research on the real time intelligent transportation information broadcasting system based on the internet 会议论文  OAI收割
2008 Proceedings of Information Technology and Environmental System Sciences: Itess 2008, Vol 2, Beijing
Wang, Xingxing; Bi, Hantao; Xia, Bin
收藏  |  浏览/下载：23/0  |  提交时间：2014/12/07
Visualizing massive terrain with transportation infrastructure by using continuous level of detail 会议论文  OAI收割
National Research Council
Huang, Bo; Li, Hongga; Huang, Xiaoxia Source
收藏  |  浏览/下载：16/0  |  提交时间：2014/12/07