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RANGING METHOD BASED ON LASER RADAR SYSTEM, DEVICE AND READABLE STORAGE MEDIUM

机译:基于激光雷达系统,装置和可读存储介质的测距方法

摘要

The present invention provides a ranging method based on a laser radar system, a device and a readable storage medium. The ranging method includes receiving ranging data obtained by measuring via a plurality of laser radars of a laser radar system, where the ranging data includes distances between the laser radars and obstacles in measurement ranges of the laser radars; establishing a three-dimensional coordinate model according to the ranging data; and determining a distance between a target unmanned device and each obstacle according to the three-dimensional coordinate model. The ranging method of the present application, in which establishing a three-dimensional coordinate model by using ranging data measured by a plurality of laser radars, and determining a distance between a target unmanned driving device and an obstacle according to the three-dimensional coordinate model, can realize a ranging calibration task for a larger distance range, thereby effectively improving a calibration efficiency and accuracy of the visual image algorithm, compared with the existing method of ranging calibration of the visual image algorithm by a single laser radar.
机译:本发明提供一种基于激光雷达系统的测距方法,设备和可读存储介质。测距方法包括:接收通过激光雷达系统的多个激光雷达进行测量而获得的测距数据,其中,测距数据包括激光雷达与激光雷达测量范围内的障碍物之间的距离;以及根据测距数据建立三维坐标模型;根据所述三维坐标模型确定目标无人机与各个障碍物之间的距离。本申请的测距方法,其中通过使用由多个激光雷达测量的测距数据建立三维坐标模型,并根据三维坐标模型确定目标无人驾驶装置与障碍物之间的距离与现有的通过单个激光雷达对视觉图像算法进行测距校准的方法相比,可以实现较大距离范围的测距校准任务,从而有效地提高了视觉图像算法的校准效率和准确性。

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