Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization

Mobile robots increasingly operate in real-world environments that are subject to change over time. Accurate and robust localization is, however, crucial for the effective operation of autonomous mobile systems. In this letter, we tackle the challenge of developing a generalizable learned filter for...

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Vydané v:	IEEE robotics and automation letters Ročník 9; číslo 4; s. 3546 - 3553
Hlavní autori:	Hroob, Ibrahim, Mersch, Benedikt, Stachniss, Cyrill, Hanheide, Marc
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms field robots Laser radar Lidar Localization Matching Object detection Point cloud compression Robot localization Robot sensing systems Robots Segmentation segmentation and categorization System effectiveness Three-dimensional displays Training Vehicle dynamics
ISSN:	2377-3766, 2377-3766
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