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Sensor Aware Lidar Odometry

07/22/2019

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by Dmitri Kovalenko, et al.

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A lidar odometry method, integrating into the computation the knowledge about the physics of the sensor, is proposed. A model of measurement error enables higher precision in estimation of the point normal covariance. Adjacent laser beams are used in an outlier correspondence rejection scheme. The method is ranked in the KITTI's leaderboard with 1.37 achieved in comparison with the LOAM method on the internal dataset.

Dmitri Kovalenko
2 publications
Mikhail Korobkin
1 publication
Andrey Minin
1 publication

research

∙ 02/03/2023

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∙ 07/19/2018

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∙ 12/18/2017

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