LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping

Lidar odometry has attracted considerable attention as a robust localization method for autonomous robots operating in complex GNSS-denied environments. However, achieving reliable and efficient performance on heterogeneous platforms in large-scale environments remains an open challenge due to the l...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE robotics and automation letters Vol. 7; no. 4; pp. 9043 - 9050
Main Authors:	Reinke, Andrzej, Palieri, Matteo, Morrell, Benjamin, Chang, Yun, Ebadi, Kamak, Carlone, Luca, Agha-Mohammadi, Ali-Akbar
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computational efficiency Darkness data sets for SLAM Datasets Iterative methods Laser radar Lidar Localization method Loci Mapping Memory management Odometers Platforms Point cloud compression Real time Real-time systems Robot sensing systems robotics in under-resourced settings Robots Robustness (mathematics) sensor fusion SLAM Three-dimensional displays
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!