自主探测系统的Bayes递推估计策略

A Bayesian Recursive Estimate Strategy for Autonomous Exploration

探测系统被动地接受外界的测量信息是不够的 ,因此方式获得的数据是不完备的 ,由此推理得出的结论在一定程度上具有不确定性 ,是不能接受的 .为获得可靠的信息 ,常采用多传感器的数据融合或装备自主传感器的方法 .文中将Bayes递推估计策略应用于自主探测系统 。

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 reliable 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 systems,and it deliberately seeks out those parts of the world that maximize the fidelity of its internal representations,and keeps searching until those representations are acceptable.