计算机与现代化Issue(12)：141-143,149,4.DOI:10.3969/j.issn.1006-2475.2011.12.040
RoboCup3D仿真系统中的机器人自定位方法
Method of Robot Self-localization in RoboCup3D Simulation System
姚千燕 1杨宜民1
作者信息
- 1. 广东工业大学自动化学院,广东广州510090
- 折叠
摘要
Abstract
In RoboCup3D simulation game, the robot self-location is very important, inaccurate location will have serious affect on simulation game. In order to simulate the real environment, it adds visual noise in the game, which makes it more difficult to lo-cate the robot. In this paper, considering the robot visual features of RoboCup3D simulation, it proposes an observations weighted fusion Kalman filter approach to realize robot self-location, using this method to get more accurate observations. The simulation ex-perience result shows that the method greatly improves the accuracy of robot self-location.关键词
RoboCup3D/机器人自定位/卡尔曼滤波/加权融合Key words
RoboCup3D/ robot self-location/ Kalman filter/ weighted integration分类
信息技术与安全科学引用本文复制引用
姚千燕,杨宜民..RoboCup3D仿真系统中的机器人自定位方法[J].计算机与现代化,2011,(12):141-143,149,4.
