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Logistics Management pp 189–200Cite as

Toward Mobile Monitoring of Cargo Compartment Using 3D Sensors for Real-Time Routing

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Part of the book series: Lecture Notes in Logistics ((LNLO))

Abstract

In this paper we present a system that monitors cargo compartments in transport vehicles in near real-time using RGB-D sensors (Asus Xtion Pro Live, Microsoft Kinect). The main component of this sensor system is a 3D analysis module that determines relevant logistical parameters of cargo compartment conditions such as free load meters, free cargo space and volume of cargo. Wireless GPRS technology transmits the results data to a central server along with GPS positioning. The latest information on a vehicle’s location and its cargo compartment parameters are always available to dispatchers, thus enabling them to route vehicles flexibly based on incoming transportation orders. The mobile sensor system’s easy and fast integration in the process make it extremely practicable. We also developed a calibration method based on simple planar markers.

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References

  • Bodin L, Golden B, Assad A, Ball M (1983) Routing and scheduling of vehicles and crews: the state of the art. Comput Oper Res 10(2):63–211

    Article  MathSciNet  Google Scholar 

  • Fiala M (2004) Vision guided control of multiple robots, CRV, In: 1st Canadian conference on computer and robot vision (CRV’04), 241–246

    Google Scholar 

  • Herrera CD, Kannala J, Heikkilä J (2011) Accurate and practical calibration of a depth and color camera pair. In: Berciano A, Diaz-Pernil D, Molina-Abril H, Real P, Kropatsch W (eds) Proceedings of the 14th international conference on computer analysis of images and patterns—Volume Part II (CAIP’11). Springer, Berlin, pp 437–445

    Google Scholar 

  • Khoshelham K, Elberink SO (2012) Accuracy and resolution of Kinect depth data for indoor mapping applications. Sensors 12(2):1437–1454

    Article  Google Scholar 

  • Mikhelson IV, Lee PG, Sahakian AV, Wu Y, Katsaggelos AK (2013) Automatic, fast, online calibration between depth and color cameras. J Visual Commun Image Represent 25(1):218–226

    Article  Google Scholar 

  • Neugebauer M, Gommel C (2010) Method and device for measuring empty space for storage or transport areas. European patent application EP2178035A

    Google Scholar 

  • Nobuhara S (2012) A new mirror-based extrinsic camera calibration using an orthogonality constraint. In: Proceedings of the 2012 IEEE conference on computer vision and pattern recognition (CVPR) (CVPR’12), IEEE Computer Society, Washington, DC, pp 1051–1058

    Google Scholar 

  • OpenNI (2013) http://openni.org. Accessed on 11 Oct 2013

  • Poenicke O, Kirch M, Flach G (2010) AdHoc-Management und Zustandsüberwachung von Gütersendungen zur Qualitätserhöhung in der unternehmensübergreifenden Transport-Logistik. Informatik 2010. Serv Science—neue Perspektiven für die Informatik. 1:559–564

    Google Scholar 

  • Rodrigues R, Barreto P, Nunes U (2010) Camera pose estimation using images of planar mirror reflections. Computer Vision—ECCV 2010 Lecture Notes in Computer Science, vol. 6314, pp 382–395

    Google Scholar 

  • Seidel S, Müller S, Blanquart C (2013) Güterverkehre des Handels: Eine Auswertung der KiD 2010 als Beitrag zur Güterverkehrssystemanalyse. Wirtschaftsverkehr 2013: Datenerfassung und verkehrsträgerübergreifende Modellierung des Güterverkehrs als Entscheidungsgrundlage für die Verkehrspolitik, Springer, pp 110–124

    Google Scholar 

  • Voigt M, Cao L, Borstell H (2011) Neue Technologien für die Laderaumüberwachung. 11./12. Forschungskolloquium am Fraunhofer IFF. Forschung vernetzen - Innovationen beschleunigen, 16 Sep 2011, Magdeburg

    Google Scholar 

  • Yamazoe H, Habe H, Mitsugami I, Yagi Y (2012) Easy depth sensor calibration. In: 21st international conference on pattern recognition ICPR, IEEE, pp 465–468

    Google Scholar 

  • Yang J, Mahmassani HS, Jaillet P (1999) On-line algorithms for truck fleet assignment and scheduling under real-time information. Transp Res Rec 1667:107–113

    Article  Google Scholar 

  • Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330–1334

    Article  Google Scholar 

  • Zhang C, Zhang Z (2011) Calibration between depth and color sensors for commodity depth cameras. In: Proceedings of the 2011 IEEE international conference on multimedia and expo (ICME’11). IEEE Computer Society, Washington, DC, pp 1–6

    Google Scholar 

Download references

Acknowledgments

The authors are being funded in part by the Federal Ministry of Education and Research (BMBF) in the project ViERforES (No. 01IM08003C).

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Authors and Affiliations

  1. Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany

    Hagen Borstell, Liu Cao, Saira Saleem Pathan, Olaf Poenicke & Klaus Richter

Authors
  1. Hagen Borstell
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  2. Liu Cao
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  3. Saira Saleem Pathan
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  4. Olaf Poenicke
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  5. Klaus Richter
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Corresponding author

Correspondence to Hagen Borstell .

Editor information

Editors and Affiliations

  1. University of Applied Sciences, Bremen, Germany

    Jan Dethloff

  2. ISL - Institut für Seeverkehrswirtschaft und Logistik, Bremen, Bremen, Germany

    Hans-Dietrich Haasis

  3. Dept. of Logistics, University of Bremen, Bremen, Germany

    Herbert Kopfer

  4. University of Bremen, Bremen, Germany

    Herbert Kotzab

  5. University of Bremen, Bremen, Bremen, Germany

    Jörn Schönberger

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Borstell, H., Cao, L., Pathan, S.S., Poenicke, O., Richter, K. (2015). Toward Mobile Monitoring of Cargo Compartment Using 3D Sensors for Real-Time Routing. In: Dethloff, J., Haasis, HD., Kopfer, H., Kotzab, H., Schönberger, J. (eds) Logistics Management. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-13177-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-13177-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13176-4

  • Online ISBN: 978-3-319-13177-1

  • eBook Packages: EngineeringEngineering (R0)

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