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RobustFieldAutonomyLab / LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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how to use kitti datasets （vlp HDL-64E）for test? #175

Closed shikeqin123 closed 4 years ago

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

bryantaoli commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

bryantaoli commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

bryantaoli commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

https://zhuanlan.zhihu.com/p/71731356 这个你看看

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

作者提供了他自己采的vlp16的数据集，需要翻墙下载

shikeqin123 commented 4 years ago

作者提供了他自己采的vlp16的数据集，需要翻墙下载 老哥有链接吗

https://github.com/TixiaoShan/Stevens-VLP16-Dataset

bryantaoli commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

作者提供了他自己采的vlp16的数据集，需要翻墙下载

https://github.com/TixiaoShan/Stevens-VLP16-Dataset ，这个数据没啥用啊，只有激光，我想融合别的传感器还是得找别的数据

shikeqin123 commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

作者提供了他自己采的vlp16的数据集，需要翻墙下载

https://github.com/TixiaoShan/Stevens-VLP16-Dataset ，这个数据没啥用啊，只有激光，我想融合别的传感器还是得找别的数据

那只能找找其他数据集了。。或者自己采

bryantaoli commented 4 years ago

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

作者提供了他自己采的vlp16的数据集，需要翻墙下载

https://github.com/TixiaoShan/Stevens-VLP16-Dataset ，这个数据没啥用啊，只有激光，我想融合别的传感器还是得找别的数据

那只能找找其他数据集了。。或者自己采

kitti激光这个也太差了吧，太惨了，还得自己修理

shikeqin123 commented 4 years ago

我已放弃使用kitti来整这个算法

------------------ 原始邮件 ------------------ 发件人: "bryantaoli"<notifications@github.com>; 发送时间: 2020年5月1日(星期五) 中午11:20 收件人: "RobustFieldAutonomyLab/LeGO-LOAM"<LeGO-LOAM@noreply.github.com>; 抄送: "2509154582"<2509154582@qq.com>; "State change"<state_change@noreply.github.com>; 主题: Re: [RobustFieldAutonomyLab/LeGO-LOAM] how to use kitti datasets （vlp HDL-64E）for test? (#175)

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

I have a problem to transform 64 lines pointclouds to 16 lines pointclouds.

I also have this problem, can you deal with it？

解决不了，kitti保存点云的方式是无序的，并不是一线一线存储，你可以算算单个点云的水平角和垂直角来看看

这说明kitti没办法跑lego_loam吗？

论文里用了kitti,应该需要特殊处理，作者也没说，就在readme提了一句

ok，那这个开源也开的不是很准确啊

作者提供了他自己采的vlp16的数据集，需要翻墙下载

https://github.com/TixiaoShan/Stevens-VLP16-Dataset ，这个数据没啥用啊，只有激光，我想融合别的传感器还是得找别的数据

那只能找找其他数据集了。。或者自己采

kitti激光这个也太差了吧，太惨了，还得自己修理

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bryantaoli commented 4 years ago

https://github.com/Mitchell-Lee-93/kitti-lego-loam

shikeqin123 commented 4 years ago

https://github.com/Mitchell-Lee-93/kitti-lego-loam good job

stale[bot] commented 4 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.