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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE robotics and automation letters Ročník 7; číslo 4; s. 9043 - 9050
Hlavní autori:	Reinke, Andrzej, Palieri, Matteo, Morrell, Benjamin, Chang, Yun, Ebadi, Kamak, Carlone, Luca, Agha-Mohammadi, Ali-Akbar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!