Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations

Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations

This paper presents a study on aircraft engine identification using real-time 3D LiDAR point cloud segmentation technology, a key element for the development of automated docking systems in airport boarding facilities, known as jetbridges. To achieve this, 3D LiDAR sensors utilizing a spinning metho...

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Bibliographic Details
Main Authors: Ihnsik Weon, Soongeul Lee, Juhan Yoo
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
semantic segmentation
3D LiDAR
point clouds
real time
PointNet
object detection
Online Access:https://www.mdpi.com/2076-3417/14/21/9685
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