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yolo是怎么参与到动态物体去除的这个过程中? #4
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你好,yolo只是通过image识别潜在动态物体如车辆等,然后给出pixel-wise boundingbox,这样可以将该box内的点云直接抹去,具体可参考原版代码https://github.com/JS-622/YOLO-fast-lio-sam,其实在本repo,我们并没有特别关注yolo的检测任务,只是把它当作一个备用module。为了真正的去处移动的动态物体,我们使用的scv-od 可参考[ttps://github.com/Yixin-F/DR-Using-SCV-OD](https://github.com/Yixin-F/DR-Using-SCV-OD). |
好嘞,感谢您的回答。另外我想问下,在lidar slam上去除伪静态物体,比如停放的车辆、暂时站立不动的人,这个方向有比较好的论文推荐么 |
客气了。对于这个方向我并不是很了解。感觉你所提及的这个任务更需要使用针对于分割或识别的network去实现,这跟slam就不再是一个赛道了,可以看些3d detection的文章。 |
好滴,谢谢。 |
我有注意到BoxCallback,但是我没理解这里面的结果,是怎么用于动态物体去除的,能否给一些细节提示?在此非常感谢。
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