Detail publikace

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

PROCHÁZKOVÁ, J. DEREVIANKO, A.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

point cloud registration, NDT, ICP, Lidar

Autoři

PROCHÁZKOVÁ, J.; DEREVIANKO, A.

Vydáno

25. 10. 2024

Nakladatel

Springer international publishing AG

Místo

CHAM

ISBN

978-3-031-34031-4

Kniha

Lecture Notes in Computer Science

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Číslo

14615

Stát

Spolková republika Německo

Strany od

302

Strany do

313

Strany počet

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",
  journal="Lecture Notes in Computer Science",
  number="14615",
  pages="302--313",
  publisher="Springer international publishing AG",
  address="CHAM",
  doi="10.1007/978-3-031-71397-2\{_}19",
  isbn="978-3-031-34031-4",
  issn="0302-9743"
}