机构

• 沈阳自动化研究所 [4]
• 地理科学与资源研究所 [2]
• 自动化研究所 [2]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [9]

内容类型

• 会议论文 [4]
• 期刊论文 [3]
• SCI/SSCI论文 [1]
• 学位论文 [1]

发表日期

• 2022 [1]
• 2020 [1]
• 2012 [1]
• 2011 [1]
• 2009 [2]
• 2005 [2]
• 更多

学科主题

• Analytical [1]
• Chemistry [1]
• Electroche... [1]
• Instrument... [1]

筛选

浏览/检索结果: 共9条，第1-9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 A Bus-Scheduling Method Based on Multi-Sensor Data Fusion and Payment Authenticity Verification 期刊论文  OAI收割 Electronics (Switzerland), 2022, 卷号: 11, 期号: 10, 页码: 1-11 作者:  Gong, Wwnan;  Zeng, Ting;  Song, Hainan;  Su, Jiayi;  Wang HG(王宏刚)   |  收藏  |  浏览/下载：57/0  |  提交时间：2022/05/29 bus scheduling  data verification  diversified payment  intelligent public transportation  multi-sensor data fusion   Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks 期刊论文  OAI收割 BIOSYSTEMS ENGINEERING, 2020, 卷号: 200, 页码: 272-283 作者:  Chang, Fangle;  Heinemann, Paul H.   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/03/08 Hedonic tone  Electronic nose  zNose (TM)  Artificial Neural Networks  Multi-sensor data 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-sensor data fusion technology in target recognition 会议论文  OAI收割 2011 3rd International Conference on Advanced Computer Control (ICACC 2011), Harbin, China, January 18-20, 2011 作者:  Xiao YH(肖阳辉);  Shi ZL(史泽林) 收藏  |  浏览/下载：24/0  |  提交时间：2012/06/06 D-S algorithm  data fusion  multi-sensor system  target recognition   Advances in Multi-Sensor Data Fusion: Algorithms and Applications SCI/SSCI论文  OAI收割 2009 Dong J.; Zhuang D. F.; Huang Y. H.; Fu J. Y. 收藏  |  浏览/下载：45/0  |  提交时间：2012/06/08 multi-sensor  data fusion  remote sensing  image fusion   Advances in Multi-Sensor Data Fusion: Algorithms and Applications 期刊论文  OAI收割 With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of, 2009, 卷号: 9, 期号: 10, 页码: 7771-7784 作者:  Dong, Jiang   |  收藏  |  浏览/下载：25/0  |  提交时间：2011/06/10 Multi-sensor  Data Fusion  Remote Sensing   Hybrid navigation for a climbing robot by fuzzy neural network and trajectory planning 会议论文  OAI收割 4th International Conference on Machine Learning and Cybernetics, Canton, China, August 18-21, 2005 作者:  Jiang Y(姜勇);  Zhao MY(赵明扬);  Wang HG(王洪光);  Fang LJ(房立金) 收藏  |  浏览/下载：28/0  |  提交时间：2012/06/06 hybrid navigation  multi-sensor data fusion  fuzzy neural network  climbing robot   Adaptive control for a climbing robot to transit between differently inclined surfaces 会议论文  OAI收割 11th Joint International Computer Conference (JICC 2005), Chongqing, China, November 10-12, 2005 作者:  Jiang Y(姜勇);  Wang HG(王洪光);  Fang LJ(房立金);  Zhao MY(赵明扬) 收藏  |  浏览/下载：22/0  |  提交时间：2012/06/06 adaptive control  FNN  multi-sensor data fusion   多传感器信息融合在自主移动机器人上的应用 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2004 杨秦敏 收藏  |  浏览/下载：87/0  |  提交时间：2015/09/02 全自主移动机器人  多传感器信息融合  嵌入式  超声传感器  环境地图建模  栅格模型  入射角  幻象目标  证据理论  证据冲突量  Autonomous mobile robot  multi-sensor data fusion  embedded  ultrasonic sensor  map-building  grid map  incidence angle  phantom tar