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Chapter

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Title

LiDAR localization and mapping for autonomous vehicles: recent solutions and trends

Authors

[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2021

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • SLAM
  • LiDAR
  • autonomous cars
  • machine learning
Abstract

EN This paper presents a brief survey of the current achievements in LiDAR SLAM and discusses some recent trends and new ideas in this area. The focus is on LiDAR SLAM applied to autonomous vehicles, which still strugle with real-world complexity. We identify the challenges in efficient environment representation, robust estimation over large state spaces, and real-time handling of the scene dynamics and diversi ed semantics. Some of these issues are illustrated by preliminary results of our recent research in LiDAR SLAM.

Pages (from - to)

251 - 261

DOI

10.1007/978-3-030-74893-7_24

URL

https://link.springer.com/chapter/10.1007/978-3-030-74893-7_24

Book

Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques

Presented on

25th International Conference on Automation 2021, 23-24.09.2021, Warszawa, Polska

License type

other

Ministry points / chapter

20

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