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使用livox avia 空中朝下采集点云会很容易退化,一般会根据GNSS数据进行点云拼接和后处理,那我们的工作在这种情况下 位姿估计会有什么样的表现呢?
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在空对地且long-term的LiDAR退化序列上,livo2无需GNSS就可以在线得到稠密准确的彩色点云,位姿估计的drift也很小。因为高空对地的那种退化对于LIO系统是非常challenge的,但对于livo2不算是很难的场景,比较容易跑下来。文章里也跑了MARS-LVIG里面最难的那个LiDAR退化序列 "AMvalley03" (M300飞行速度12m/s,整体效果如下图),可以看到航线回到出发点附近后,下面的山谷以及土路也吻合的很好。这个序列在最右侧那个大斜坡LiDAR直接怼上去了,退化得很厉害,具体场景退化描述可以参考文章支撑材料图S6。
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使用livox avia 空中朝下采集点云会很容易退化,一般会根据GNSS数据进行点云拼接和后处理,那我们的工作在这种情况下 位姿估计会有什么样的表现呢?
The text was updated successfully, but these errors were encountered: