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VISUAL INERTIAL ODOMETRY LOCALIZATION USING SPARSE SENSORS

机译:基于稀疏传感器的视觉惯性里程计定位

摘要

In one embodiment, a computing system accesses a set of 3D locations associated with features in an environment previously captured by a camera from a previous camera pose. The computing system determines a predicted camera pose using the previous camera pose and motion measurements generated using a motion sensor associated with the camera. The computing system projects the set of 3D locations toward the predicted camera pose and onto a 2D image plane associated with the camera. The computing system generates, based on the projected set of 3D locations on the 2D image plane, an activation map specifying a subset of the pixel sensors of the camera that are to be activated. The computing system instructs, using the activation map, the camera to activate the subset of pixel sensors to capture a new image of the environment. The computing system reads pixel values of the new image.
机译:在一个实施例中,计算系统访问与环境中的特征相关联的一组三维位置,该环境先前由相机从先前相机姿势捕获。计算系统使用先前的相机姿势和使用与相机相关联的运动传感器生成的运动测量来确定预测的相机姿势。计算系统将一组3D位置投影到预测的相机姿势上,并投影到与相机关联的2D图像平面上。计算系统基于2D图像平面上3D位置的投影集生成激活地图,该激活地图指定要激活的相机像素传感器的子集。计算系统使用激活图指示相机激活像素传感器子集,以捕获环境的新图像。计算系统读取新图像的像素值。

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