Method

Universal LiDAR Odometry And Mapping With Dual Channel Descriptor[la] [lc] [Universal-SLAM]


Submitted on 24 Sep. 2024 07:52 by
Runbang Zhang (Hunan University)

Running time:0.04 s
Environment:1 cores @ 2.5 Ghz (C/C++)

Method Description:
Universal LiDAR odometry for localization and
mapping

todo...
Parameters:
max_match_num=1000
size=0.4
Latex Bibtex:

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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