机构

• 长春光学精密机械与物... [2]
• 自动化研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2019 [1]
• 2012 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文  OAI收割 IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042 作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan   |  收藏  |  浏览/下载：65/0  |  提交时间：2019/06/10 Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion   Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文  OAI收割 10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China Yang H.-T.; Gao H.-B. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 In range measurement  theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system  the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm  which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.   Application of multi-sensors parallel fusion system in photoelectric tracing (EI CONFERENCE) 会议论文  OAI收割 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, November 16, 2008 - November 19, 2008, Beijing, China Cheng G.-Y.; Cai S.; Gao H.-B.; Zhang S.-M.; Qiao Y.-F. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 To solve the real-time and reliability problem of tracking servo-control system in optoelectronic theodolite  a multisensors parallel processing system was proposed. Misdistances of three different wavebands were imported into system  and then prediction was done in DSP1 to get the actual position information. Data fusion was accomplished in PPGA imported by multi channel buffer serial port. The compound position information was used to control the theodolite. The results were compared with external guide data in DSP2 to implement correction of above calculation  and then were imported to epistemic machine through PXI interface. The simulation experiment of each calculation unit showed that this system could solve the real-time problem of feature level data fusion. The simulation result showed that the system can satisfy the real-time requirement with 1.25ms in theodolite with three imaging systems  while sampling frequency of photoelectric encoder was 800 Hz. 2009 SPIE.