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MobileRoboticsSkoltech / map-metrics

Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21
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editoring error #5

Open hahakid opened 3 years ago

hahakid commented 3 years ago

A \delta seems missing in Eq.6 of the paper. Have you tested on all the sequences and other dataset. Recommend to ref LIBRE: The Multiple 3D LiDAR Dataset. VLP64 may have a low precise for long distance measurement. clipboard

anastasiia-kornilova commented 3 years ago

@hahakid , thank you for your careful reading! Yes, actually there is a typo, I will fix it in the final version of the paper.

I've taken a look at LIBRE, a very relevant paper, many thanks! About testing metric on other datasets -- that is the scope of future work, the current state is more MVP/proof-of-concept on well-know KITTI. Next iterations, of course, will be supported by more evaluation on different LiDAR datasets, as well depth camera datasets, because the current metric algorithm is not limited to only LiDAR 3D data.