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  4. SmartAirCargoTrailer : autonomous short distance transports in air cargo
 
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SmartAirCargoTrailer : autonomous short distance transports in air cargo

Citation Link: https://doi.org/10.15480/882.2468
Publikationstyp
Conference Paper
Date Issued
2019-09-26
Sprache
English
Author(s)
Bierwirth, Benjamin  
Schwanecke, Ulrich  
Gietzen, Thomas  
Lopéz, Daniel Andrés  
Brylka, Robert  
TORE-DOI
10.15480/882.2468
TORE-URI
http://hdl.handle.net/11420/3726
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
27
Start Page
151
End Page
185
Citation
Hamburg International Conference of Logistics (HICL) 27: 151-185 (2019)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2019  
Publisher Link
https://www.epubli.de/shop/buch/Artificial-Intelligence-and-Digital-Transformation-in-Supply-Chain-Management-Christian-M-Ringle-Thorsten-Blecker-Wolfgang-Kersten-9783750249479/92095
Publisher
epubli GmbH
Purpose: SmartAirCargoTrailers improve short-distance air cargo transports within airport premises. They create real-time-transparency between the partners in the transport chain and thereby reduces waiting times while at the same time increasing equipment utilization. An autonomous truck with swap bodies facilitates these short-distance transports. Methodology: The SmartAirCargoTrailer system consist of an autonomous truck with swap trailers which is controlled by a cloud platform. To allow for real-timetransparency all shipments loaded onto the trailer are detected by a camera-based system. Findings: To enable reliable scannings of AirwayBill numbers (AWBs) a system of multiple cameras was developed. Challenges arose from the big variationin shipment size and scanning in motion. While the truck could be triggered automatically based on time or filling level, also human interaction had to be integrated. Originality: The system introduces a combined push-pull-algorithm to optimize the utilization of the autonomous trucks. The camera-based barcode scanning allows for shipment identification without interrupting the loading process. Autonomous driving in the mixed traffic environments of the landside airport premises is another innovative part of the project.
Subjects
Air cargo
Camera-based barcode detection
Neural networks
Autonomous transports
DDC Class
004: Informatik
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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