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Assistance System for an Automatic Loading Process. Abstract

Geiger, Chris; Weißenböck, Michael; Geimer, Marcus

Abstract (englisch):

One of the biggest challenges forestry contractors face today is high employee fluctuation, resulting in unexperienced operators with minor background in forestry. On the other hand, forwarding shows a huge potential towards automation. An assistance system which semi-automates the loading process during a cut-to-length logging process would increase the productivity significantly, in particular for new operators. Especially for them, positioning the grapple and gripping the log without ground penetration are the most challenging parts of loading phases due to a high number of simultaneous control tasks. The presented assistance system is able to execute these phases completely automatically. The assistance system consists of two essential components, a log detection algorithm and a control system for driving the forestry crane.

Postprint §
DOI: 10.5445/IR/1000139444
Veröffentlicht am 27.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator KITopen-ID: 1000139444
Erschienen in Proceedings of The Joint Annual 43rd Annual Meeting of Council on Forest Engineering (COFE) & the 53rd International Symposium on Forestry Mechanization (FORMEC)
Veranstaltung COFE-FORMEC. Joint Meeting (2021), Online, 27.09.2021 – 30.09.2021
Seiten 5-7
Vorab online veröffentlicht am 26.10.2021
Schlagwörter Automation, Assistance Systems, Artificial Intelligence, Control Systems
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