摘要
本文在足球机器人仿真组中引入基于视觉噪声的粒子滤波定位法的视觉信息处理策略,智能体通过此法更新其内部维持的世界模型,为上层决策提供一个更加精确的世界模型。
This article mainly discusses the application of particle filter orientation based on visual noise in the RoboCup emulational group. Agents update the world models maintained internally in order to provide a better world model for the upper level decision-making.
出处
《计算机工程与科学》
CSCD
2008年第12期41-42,共2页
Computer Engineering & Science
