3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems

3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems

The paper proposes a novel framework for registering and segmenting 3D point clouds of large-scale natural terrain and complex environments coming from a multisensor heterogeneous robotics system, consisting of unmanned aerial and ground vehicles. This framework involves data acquisition and pre-pro...

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Bibliographic Details
Main Authors: Haris Balta, Jasmin Velagic, Halil Beglerovic, Geert De Cubber, Bruno Siciliano
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
unmanned vehicles
outlier removal
3D point cloud processing
large-scale environment
LME-ICP method
FCSOR
Online Access:https://www.mdpi.com/2072-4292/12/10/1608

Internet

https://www.mdpi.com/2072-4292/12/10/1608

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