QQ客服 官方微博 反馈留言

浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Multi-feature fusion tree trunk detection and orchard mobile robot localization using camera/ultrasonic sensors 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 147, 页码: 91-108 作者:  Chen, Xianyi;  Wang, Sun'an 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Trunk detection  Mobile robot localization  Camera/ultrasonic sensors  Image processing  Multi-feature fusion   Upgrading and experimentation of the hydraulic-driven in-situ sediment acoustic measurement system 期刊论文 2016 IEEE/OES China Ocean Acoustics Symposium, COA 2016, 2016 作者:  Li, Guanbao;  Han, Guozhong;  Kan, Guangming;  Liu, Baohua 收藏  |  浏览/下载：3/0  |  提交时间：2018/12/07 Acoustic measuring instruments  Acoustic variables measurement  Cables  Data visualization  Image enhancement  Ships  Ultrasonic velocity measurement   Environment modeling of AS-R robot based on BP Neural Network (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Xie M.-J.; Yu X.-L.; Wang Z.-Q. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 There are some limitations when environment model of AS-R mobile robot is obtained by only using a separate CCD camera or ultrasonic sensor array. The BP neural network is designed to fuse information of the two sensors to obtain the robot's environment model in this paper. The input of BP neural network is the intercept and slope of the edge line obtained CCD camera and ultrasonic sensor arrays  which is processed by through the global coordinates of coordinate transformation. The output of BP network is the fused intercept and slope of the straight edge. Experiment shows that environment model is feasible for the AS-R mobile robot and the environment modeling method has more reliability and accuracy. 2010 IEEE.   Target localization based on multisensor fusion for mobile robots 期刊论文 INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2006, 卷号: 21, 期号: 3, 页码: 165-173 作者:  Yang, G. -S.;  Hou, Z. -G.;  Tan, M.;  Yan, H. 收藏  |  浏览/下载：10/0  |  提交时间：2015/11/07 multisensor fusion  polynomial approximation  target localization  target recognition  mobile robot   基于视觉信息的移动机器人定位研究 学位论文 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2003 延昊 收藏  |  浏览/下载：25/0  |  提交时间：2015/09/02 移动机器人  视觉  摄像机标定  门牌定位识别  多传感器融合  Mobile robot  Vision  Camera calibration  Doorplate recognition and Positioning  Multi-sensor fusion   基于传感器信息的移动机器人导航与控制研究 学位论文 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2003 作者:  叶涛 收藏  |  浏览/下载：49/0  |  提交时间：2015/09/02 移动机器人  导航与控制  多传感器信息融合  轨迹跟踪  mobile robot  navigation and control  multi-sensor information fusion  trajectory tracking