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运行kitti数据集时,我在滑窗优化过程中记录了边缘化因子的残差的模,发现随着优化进行,这个数值不断增大,如果系统运行好几天的话,可能出现边缘化因子的尺度远大于视觉重投影因子,这是我疑惑的地方,两者尺度差别太大的话会导致优化走偏吗?麻烦说下您的理解,感激不尽!
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还有,我在仿照这个项目写的一个滑窗优化代码里,边缘化因子的残差模并没有增长,debug了好几天还是找不到原因,可以的话麻烦提供一些思路吗?
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边缘化残差模的增长大致像这样子,这里只贴了一小段距离
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运行kitti数据集时,我在滑窗优化过程中记录了边缘化因子的残差的模,发现随着优化进行,这个数值不断增大,如果系统运行好几天的话,可能出现边缘化因子的尺度远大于视觉重投影因子,这是我疑惑的地方,两者尺度差别太大的话会导致优化走偏吗?麻烦说下您的理解,感激不尽!
The text was updated successfully, but these errors were encountered: