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Test of gicp and ndt on Kitti Odometry dataset #18

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YuePanEdward opened this issue May 18, 2020 · 3 comments
Open

Test of gicp and ndt on Kitti Odometry dataset #18

YuePanEdward opened this issue May 18, 2020 · 3 comments

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@YuePanEdward
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Hello, Koide. Thanks very much for your awesome work and contribution to the society.
I've tested ndt_omp, gicp_omp and also fast vgicp on KITTI Odometry dataset with only the scan-to-scan matching and uniform motion based initial guess after tuning the parameters. I'd like to share the result here.

Method ATE (%) ARE(0.01deg/m) TPF(ms)
gicp_omp 1.12 0.17 273
voxel_gicp 1.09 0.32 128
ndt_omp 3.75 0.86 172

The rotation accuracy of gicp_omp is quite well (top 10 on KITTI leaderboard).

I'd like to involve these algorithms in my project as baseline front-end methods, thank you a lot.

@koide3
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koide3 commented May 18, 2020

Hi @YuePanEdward ,
Thanks for letting me know the result 👍

@sasuke286
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Hello @YuePanEdward .
I am very interested in these results.

Could you please tell me how to set the parameters in kitti ?

@whuzs
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whuzs commented Sep 28, 2020

hello, i used gicp and gicp-omp(8 threads) and found they take about the same time, why?

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