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Communications Challenges in the Celtic-BOSS Project

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Next Generation Teletraffic and Wired/Wireless Advanced Networking (NEW2AN 2007)

Abstract

The BOSS project [1] aims at developing an innovative and bandwidth efficient communication system to transmit large data rate communications between public transport vehicles and the wayside to answer to the increasing need from Public Transport operators for new and/ or enhanced on-board functionality and services, such as passenger security and exploitation such as remote diagnostic or predictive maintenance. As a matter of fact, security issues, traditionally covered in stations by means of video-surveillance are clearly lacking on-board trains, due to the absence of efficient transmission means from the train to a supervising control centre. Similarly, diagnostic or maintenance issues are generally handled when the train arrives in stations or during maintenance stops, which prevents proactive actions to be carried out. The aim of the project is to circumvent these limitations and offer a system level solution. This article focuses on the communication system challenges.

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References

  1. http://www.celtic-boss.org

  2. Haritaoglu, I., Harwood, D., Davis, L.: W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 809–830 (2000)

    Article  Google Scholar 

  3. Oliver, N., Rosario, B., Pentland, A.: A bayesian computer vision system for modelling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 831–843 (2000)

    Article  Google Scholar 

  4. Johnson, N., Hogg, D.: Learning recognition. Image and Vision Computing 14, 609–615

    Google Scholar 

  5. Hongeng, S., Brmond, F., Nevatia, R.: Representation and optimal recognition of human activities. In: IEEE Proceedings of Computer Vision and Pattern Recognition (2000)

    Google Scholar 

  6. Vu, T., Brmond, F., Thonnat, M.: Automatic video interpretation: a novel algorithm for temporal scenario recognition. In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003) (2003)

    Google Scholar 

  7. Desurmont, X., Chaudy, C., Bastide, A., Parisot, C., Delaigle, J.F., Macq, B.: Image analysis architectures and techniques for intelligent systems. In: IEE proc. on Vision, Image and Signal Processing, Special issue on Intelligent Distributed Surveillance Systems (2005)

    Google Scholar 

  8. Huang, T., Russell, S.: Object identification in a Bayesian context. In: Proceedings of International Joint Conference on Artificial Intelligence, Nagoya, Aichi, Japan, August 23–29, 1997, pp. 1276–1283 (1997)

    Google Scholar 

  9. Kettnaker, V., Zabih, R.: Bayesian multi-camera surveillance. In: IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, 23–25 June, 1999, pp. 253–259 (1999)

    Google Scholar 

  10. Javed, O., Rasheed, Z., Shafique, K., Shah, M.: Tracking Across Multiple Cameras With Disjoint Views. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, Nice, France, pp. 952–957 (2003)

    Google Scholar 

  11. Pedersini, F., Sarti, A., Tubaro, S.: Multi-camera Systems? IEEE Signal Processing Magazine 16(3), 55–65 (1999)

    Article  Google Scholar 

  12. Wren, C.R., Rao, S.G.: Self-configuring lightweight sensor networks for ubiquitous computing. In: Proceedings of the International Conference on Ubiquitous Computing, Seattle, WA,USA, 12–15 October 2003, pp. 205–206 (2003)

    Google Scholar 

  13. Final report for TESS project: Les systèmes de communications satellites ou terrestres pour les flottes d’autobus urbains (satellite or terrestrial communication systems for urban busses fleet) (March 2003)

    Google Scholar 

  14. Final report, 5th PCRD project PRISMATICA

    Google Scholar 

  15. Final report, PREDIT2 – STATUE project

    Google Scholar 

  16. Final report, ESCORT – Enhanced diversity and Space Coding for underground metrO and Railway Transmission IST 1999–20006 project (December 2002)

    Google Scholar 

  17. INRESTS synthesis document: Synthèse INRETS N0 40 Nov 2001, Le systèmes de tl communication existants ou mergeants et leur utilisation dans le domaine des transports guides (Existing or emerging telecommunication systems and their use in guided transports)

    Google Scholar 

  18. SECURBUS – ACTES de la journée sécurité dans les transports (Proceedings of Day on security in transport means), BELFORT, France (January 2002)

    Google Scholar 

  19. Communication avec les mobiles: application au trafic et aux transports routiers (Communication with mobiles: application to traffic and road transportation) Collection du CERTU (March 2001), ISBN 2-11-090861-0, ISSN 0247-1159

    Google Scholar 

  20. UITP (international Association of Public Transport), http://www.uitp.com

  21. Vacher, M., Istrate, D., Serignat, J.F.: Sound Detection through Transient Models using Wavelet Coefficient Trees. In: Proc. CSIMTA, Cherbourg, France (2004)

    Google Scholar 

  22. Khoudour, L., Aubert, D., Bruyelle, J.L., Leclerq, T., Flancquart, A.: A distributed multi-sensor surveillance system for public transport applications. In: Intelligent Distributed Video Surveillance Systems, ch. 7, IEEE, Los Alamitos (to appear)

    Google Scholar 

  23. Bruyelle, J.L., Khoudour, L., Velastin, S.A.: A multi-sensor surveillance system for public transport environments. In: 5th International Conference on Methods and Techniques in Behavioral, The Netherlands (2005)

    Google Scholar 

  24. Sun, J., Velastin, S.A., Vicencio-Silva, M.A., Lo, B., Khoudour, L.: An intelligent distributed surveillance system for public transport. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, London, UK (2004)

    Google Scholar 

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Yevgeni Koucheryavy Jarmo Harju Alexander Sayenko

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© 2007 Springer-Verlag Berlin Heidelberg

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Jeney, G. et al. (2007). Communications Challenges in the Celtic-BOSS Project. In: Koucheryavy, Y., Harju, J., Sayenko, A. (eds) Next Generation Teletraffic and Wired/Wireless Advanced Networking. NEW2AN 2007. Lecture Notes in Computer Science, vol 4712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74833-5_36

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  • DOI: https://doi.org/10.1007/978-3-540-74833-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74832-8

  • Online ISBN: 978-3-540-74833-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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