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自主探测系统的Bayes递推估计策略

刘传才 杨静宇

控制理论与应用2001,Vol.18Issue(2):273-276,4.
控制理论与应用2001,Vol.18Issue(2):273-276,4.

自主探测系统的Bayes递推估计策略

A Bayesian Recursive Estimate Strategy for Autonomous Exploration

刘传才 1杨静宇2

作者信息

  • 1. 福州大学计算机系
  • 2. 南京理工大学计算机系
  • 折叠

摘要

Abstract

passively accepting measurements of the world is not enough, as the data we obtain is always incomplete, and the inferences made from it uncertain to a degree that is often unacceptable. Two methods are generally adopted to obtain reli able data: one is multi-sensor data fusion; the other is to build machines that operate autonomously. A Bayesian recursive estimate strategy is applied to autonomous exploration system, and it deliberately seeks out those parts of the world that maximize the fidelity of its internal,and keeps, and keeps searching until those representations are acceptable.

关键词

自主探测/主动视觉/非结构化环境/超椭球

分类

信息技术与安全科学

引用本文复制引用

刘传才,杨静宇..自主探测系统的Bayes递推估计策略[J].控制理论与应用,2001,18(2):273-276,4.

控制理论与应用

OA北大核心CSCD

1000-8152

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