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Computer Vision for Autonomous Drill Jumbos: Detecting Non-Drillable Areas of a Mine Face

; ; ;

In
Sensors 26(9), Seiten/Artikel-Nr.:2623

ImpressumBasel : MDPI

Umfang[1]-22

ISSN1424-8220

Online
DOI: 10.3390/s26092623

DOI: 10.18154/RWTH-2026-04874
URL: https://publications.rwth-aachen.de/record/1035123/files/1035123.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Advanced Mining Technologies (513310)
  2. Fachgruppe für Rohstoffe und Entsorgungstechnik (510000)

Projekte

  1. OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)

Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105038471387
WOS Core Collection: WOS:001763985800001
OpenAlex: W7155387039

Interne Identnummern
RWTH-2026-04874
Datensatz-ID: 1035123

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Georesources and Materials Engineering (Fac.5) > Division of Mineral Resources and Raw Materials Engineering
Publication server / Open Access
Public records
Publication Charges
Publications database
513310
510000
TypAmountVATCurrencyShareStatusCost centre
APC1986.51377.44EUR100.00 %(Zahlung erfolgt)021000-513310
Sum1986.51377.44EUR   
Total2363.95     
 Record created 2026-05-07, last modified 2026-09-11
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