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Authors: Felix Föcker 1 ; Adrian Neubauer 1 ; Andreas Metzger 1 ; Gerd Gröner 2 and Klaus Pohl 1

Affiliations: 1 University of Duisburg-Essen, Germany ; 2 Carl Zeiss Vision GmbH, Germany

ISBN: 978-989-758-100-7

Keyword(s): 3D Volume Recognition, Mobile Devices, Internet-connected Sensors, Transport and Logistics.

Abstract: Transport and logistics faces fluctuations in cargo volume that statistically can only be captured with a large error. Observing and managing such dynamic volume fluctuations more effectively promises many benefits such as reducing unused transport capacity and ensuring timely delivery of cargo. This paper introduces an approach that combines user-friendly mobile devices with internet-connected sensors to deliver up-to-date, timely, and precise information about parcel volumes inside containers. In particular, we present (1) RCM, a mobile app for unique identification of containers, and (2) SNAP, a novel approach for employing internet connected low-cost, off-the-shelf 3D scanners for capturing and analyzing actual cargo volumes. We have evaluated the accuracy of SNAP in controlled experiments indicating that cargo volume can be measured with high accuracy. We have further evaluated RCM together with SNAP by means of a survey study with domain experts, revealing its high potential for practical use. (More)

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Paper citation in several formats:
Föcker F., Neubauer A., Metzger A., Gröner G. and Pohl K. (2015). Real-time Cargo Volume Recognition using Internet-connected 3D Scanners.In Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-100-7, pages 323-330. DOI: 10.5220/0005377203230330

@conference{enase15,
author={Felix Föcker and Adrian Neubauer and Andreas Metzger and Gerd Gröner and Klaus Pohl},
title={Real-time Cargo Volume Recognition using Internet-connected 3D Scanners},
booktitle={Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2015},
pages={323-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005377203230330},
isbn={978-989-758-100-7},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Real-time Cargo Volume Recognition using Internet-connected 3D Scanners
SN - 978-989-758-100-7
AU - Föcker F.
AU - Neubauer A.
AU - Metzger A.
AU - Gröner G.
AU - Pohl K.
PY - 2015
SP - 323
EP - 330
DO - 10.5220/0005377203230330

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