Ship Identification Algorithm Based on 3D Point Cloud for Automated Ship Loaders

Mi, C.; Shen, Y.; Mi, W., and Huang, Y., 2015. Ship identification algorithm based on 3D point cloud for automated ship loader. With the development of bulk port automation, the ship loader as the main quayside machine of bulk terminal is required for transformation from manual operation to automati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of coastal research Jg. 73; H. sp1; S. 28 - 34
Hauptverfasser: Mi, Chao, Shen, Yang, Mi, Weijian, Huang, Youfang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Coastal Education and Research Foundation 01.12.2015
Coastal Education & Research Foundation (CERF)
Schlagworte:
Algorithms
Automated ship loader
Automatic control
automation
bulk terminal
Cargo holds
Container terminals
crane
Experimental results
Lasers
LiDAR
Marine and Coastal Environment
point cloud
Radar
Sensors
Ships
target identification
ISSN:0749-0208, 1551-5036
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Mi, C.; Shen, Y.; Mi, W., and Huang, Y., 2015. Ship identification algorithm based on 3D point cloud for automated ship loader. With the development of bulk port automation, the ship loader as the main quayside machine of bulk terminal is required for transformation from manual operation to automation. The ship identification method is a key inspection technique for automated ship loaders. In this paper, a fast ship identification algorithm was formulated based on the 3D point cloud of the ship, as generated by the Laser Measurement Systems (LMS) mounted on the ship loader. To meet the requirement of real-time computing for the automated ship loader, the 3D point cloud was first processed to reduce its dimensions from 3D point cloud into a 2D image. A projection method was then applied to locate and identify all bulk cargo holds in the ship. Finally, a group of experiments on ship identification was conducted using this algorithm in the Coal Terminal of Tianjin Port. The results showed that the computing time for a whole ship was lower than 200 ms and the error of the algorithm was lower than 10%, meeting the requirement of automated ship loaders.
ISSN:0749-0208
1551-5036
DOI:10.2112/SI73-006.1