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When solving the problem of simultaneous localization and mapping (SLAM), a standard extended Kalman filter (EKF) is subject
to linearization errors and causes optimistic estimation. This paper proposes a submap algorithm, which builds a weighted
least squares (WLS) constraint between two adjacent submaps according to the different estimations of the common features
and the relationship between the vehicle poses in the corresponding submaps. By establishing the constraint equation after
loop closing, re-linearization is implemented and each submap’s reference frame tends to its equilibrium position quickly.
Experimental results demonstrate that the algorithm could get a globally consistent map and linearization errors are limited
in local regions. 相似文献
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针对城市车栽通信网络拓扑结构变化快的特点及将通用路由协议和评价标准用于所有车栽应用的弊端,提出了一种基于NS2的洪泛路由协议,介绍了该协议的实现过程;通过对节点不同最大运动速度下通信速率的仿真、分析和对比,得出洪泛路由协议下节点间平均通信速率随节点的最大移动速度变化趋势,以便于用户对网络性能进行评价及对洪泛路由算法进行优化。 相似文献
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