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Resource-aware large-scale cooperative 3D mapping using multiple mobile devices

机译:使用多个移动设备的资源感知型大规模协作3D映射

摘要

A method includes: receiving, with a computing platform, respective trajectory data and map data independently generated by each of a plurality of vision-aided inertial navigation devices (VINS devices) traversing an environment, wherein the trajectory data specifies poses along a path through the environment for the respective VINS device and the map data specifies positions of observed features within the environment as determined by an estimator executed by the respective VINS device; determining, with the computing platform and based on the respective trajectory data and map data from each of the VINS devices, estimates for relative poses within the environment by determining transformations that geometrically relate the trajectory data and the map data between one or more pairs of the VINS devices; and generating, with the computing platform and based on the transformations, a composite map specifying positions within the environment for the features observed by the VINS devices.
机译:一种方法,包括:用计算平台接收由遍历环境的多个视觉辅助惯性导航设备(VINS设备)中的每一个独立生成的各自的轨迹数据和地图数据,其中,所述轨迹数据指定沿着穿过所述机器人的路径的姿势。各个VINS设备的环境,并且地图数据指定由各个VINS设备执行的估计器确定的环境中观察到的特征的位置;通过计算平台并基于来自每个VINS设备的各自的轨迹数据和地图数据,确定环境中相对姿态的估计,方法是确定在几何图形上一对或多对之间的几何关系将轨迹数据和地图数据相关的转换VINS设备;并利用计算平台并基于转换生成合成地图,该合成地图指定了环境中VINS设备所观察到的特征的位置。

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