Method

Continuous-Time ICP 2 [la] [CT-ICP2]
https://github.com/jedeschaud/ct_icp

Submitted on 29 Aug. 2022 10:33 by
Jean-Emmanuel Deschaud (MINES ParisTech)

Running time:0.06 s
Environment:1 core @ 3.5 Ghz (C/C++)

Method Description:
Continuous-Time ICP 2 : map-centric real-time
elastic LiDAR Odometry
Parameters:
\size_voxel_map=1.0
Latex Bibtex:
@INPROCEEDINGS{9811849,
author={Dellenbach, Pierre and Deschaud, Jean-
Emmanuel and Jacquet, Bastien and Goulette,
François},
booktitle={2022 International Conference on
Robotics and Automation (ICRA)},
title={CT-ICP: Real-time Elastic LiDAR Odometry
with Loop Closure},
year={2022},
volume={},
number={},
pages={5580-5586},
doi={10.1109/ICRA46639.2022.9811849}}

Detailed Results

From all test sequences (sequences 11-21), our benchmark computes translational and rotational errors for all possible subsequences of length (5,10,50,100,150,...,400) meters. Our evaluation ranks methods according to the average of those values, where errors are measured in percent (for translation) and in degrees per meter (for rotation). Details for different trajectory lengths and driving speeds can be found in the plots underneath. Furthermore, the first 5 test trajectories and error plots are shown below.

Test Set Average


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Sequence 11


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Sequence 12


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Sequence 13


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Sequence 14


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Sequence 15


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