Comments (3)
您好,
点云覆盖率的具体定义可以参照官网说明点云特性 ,计算时视场被划分成 5mrad*5mrad
的⽹格。对于上述提到的问题,点云对比计算时需要考虑深度误差,角度误差等因素,在对比的时候建议考虑一下误差因素。
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首先感谢您的解答。还有部分疑问如下:
1、看了点云特性的那张图,那张图是多长时间的扫描积累,是在多远的位置 得到的扫描覆盖率?
我的疑问是:
(1)比如一个1米见方的物体,如果放在距离激光雷达5米远的位置,等待扫描5秒钟,如果能到达90%的覆盖率。那么如果把该物体放到10米远的距离,同样扫描5秒钟,覆盖率是否会下降?(比如变成70%)
(2)如果该10米远的这个物体,增加扫描时长到10秒钟,那么其覆盖率是否也会相应的增加?(比如重新增加到90%)
2、您说的“在对比的时候考虑下误差”能否给个详细的指导,谢谢。
(1)对于深度误差,其误差范围是多少?或者是与距离成正比的关系?
(2)关于角度误差该怎么理解,收到的数据是x、y、z的坐标值,请问角度误差体现在哪里?以及如何消除角度误差影响?
from livox-sdk.
您好, 点云覆盖率的具体定义可以参照官网说明点云特性 ,计算时视场被划分成 5mrad*5mrad 的⽹格。对于上述提到的问题,点云对比计算时需要考虑深度误差,角度误差等因素,在对比的时候建议考虑一下误差因素。
请问,horizon激光雷达如何调整积分时间并录制数据呢
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