摘要
通过理论分析,给出三种阶段的BBS数学模型,建立了基于人口模型的BBS增长期访问量公式和基于Poisson过程的BBS稳定期点击率公式,为BBS的管理和研究提供了理论基础。
A method for robot self-localization based on landmark is presented. To solve the problem that a MCL algorithm can not give good self-localization results using the information of the land marks obtained from the robot vision system. A new robot self-localization method which combines the MCL algorithm and the UKF is proposed. In this new method, the information of landmarks, the position and azimuth of the robot, which are obtained from robot vision system, the encoder of the driving motors, the electronic compass of the robot, respectively, are used to improve the precision of the self-localization of the robot. It has been shown by experimental results that this new method can not only improve the precision of the robot self-localization, but also is quite robust.
出处
《科学技术与工程》
2005年第17期1263-1265,1270,共4页
Science Technology and Engineering
关键词
BBS
数学模型
访问量
点击率
MCL UKF robot self-localization information fusion