Detail publikace

The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving

PROCHÁZKOVÁ, J. DEREVIANKO, A.

Anglický název

The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

Autonomous driving necessarily involves mapping the surrounding terrain. Various algorithms are used, supllemented by the odometry or GPS signals. In the case of driving through very difficult terrain as woods, cart tracks, where this information is subject to large errors, only Lidar can be used. The article deals with processing the Lidar data from this extremely difficult terraing.

Anglický abstrakt

Autonomous driving necessarily involves mapping the surrounding terrain. Various algorithms are used, supllemented by the odometry or GPS signals. In the case of driving through very difficult terrain as woods, cart tracks, where this information is subject to large errors, only Lidar can be used. The article deals with processing the Lidar data from this extremely difficult terraing.

Klíčová slova anglicky

point cloud registration, NDT, ICP, Lidar

Vydáno

25.10.2024

Nakladatel

Springer international publishing AG

Místo

CHAM

ISBN

978-3-031-34031-4

ISSN

0302-9743

Kniha

Lecture Notes in Computer Science

Číslo

14615

Strany od–do

302–313

Počet stran

11

BIBTEX


@inproceedings{BUT190081,
  author="Jana {Procházková} and Anna {Derevianko},
  title="The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving",
  booktitle="Lecture Notes in Computer Science",
  year="2024",
  number="14615",
  month="October",
  pages="302--313",
  publisher="Springer international publishing AG",
  address="CHAM",
  isbn="978-3-031-34031-4",
  issn="0302-9743"
}