Skip to main content
SpringerLink
Log in
SpringerLink
Log in

A CANoe-Based Approach for Receiving XML Data over the Ethernet

  • Conference paper
  • First Online:
Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety (BDAS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 928))

  • 950 Accesses

Abstract

Although the use of XML format allows many interoperability problems to be solved, it is not common solution in automotive electronics. Most of development systems used in automotive base on raw data instead of structured information. The paper presents an extension of CANoe software with a XML-based communication interface, used to receive and process measurement data from an Autonomous Mobile Platform through specialized database system. The solution provides interoperability in access to the measurement data as well as wide possibilities to use them in the visualisation, historical analysis and assessment of the quality of work of a platform.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baheti, R., Gill, H.: Cyber-physical systems. Impact Control Technol. 12, 161–166 (2011)

    Google Scholar 

  2. Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H.: Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transp. Syst. Mag. 6(4), 6–22 (2014)

    Article  Google Scholar 

  3. Budzan, S., Kasprzyk, J.: Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications. Opt. Lasers Eng. 77, 230–240 (2016)

    Article  Google Scholar 

  4. Cupek, R., Huczala, L.: Passive PROFIET I/O OPC DA server. In: IEEE Conference on Emerging Technologies & Factory Automation, ETFA 2009, pp. 1–5. IEEE (2009)

    Google Scholar 

  5. Cupek, R., Ziebinski, A., Fojcik, M.: An ontology model for communicating with an autonomous mobile platform. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2017. CCIS, vol. 716, pp. 480–493. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58274-0_38

    Chapter  Google Scholar 

  6. Cupek, R., Ziebinski, A., Franek, M.: FPGA based OPC UA embedded industrial data server implementation. J. Circ. Syst. Comput. 22(08), 1350070 (2013)

    Article  Google Scholar 

  7. Fang, X., Paynabar, K., Gebraeel, N.: Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliab. Eng. Syst. Saf. 159, 322–331 (2017)

    Article  Google Scholar 

  8. Garcia, F., Martin, D., de la Escalera, A., Armingol, J.M.: Sensor fusion methodology for vehicle detection. IEEE Intell. Transp. Syst. Mag. 9(1), 123–133 (2017)

    Article  Google Scholar 

  9. Grzechca, D., Wróbel, T., Bielecki, P.: Indoor location and identification of objects with video surveillance system and WiFi module. In: 2014 International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), pp. 171–174. IEEE (2014)

    Google Scholar 

  10. Guan, H., Li, L., Jia, X.: Multi-sensor fusion vehicle positioning based on Kalman Filter. In: 2013 International Conference on Information Science and Technology (ICIST), pp. 296–299. IEEE (2013)

    Google Scholar 

  11. Harezlak, K., Skowron, R.: Performance aspects of migrating a web application from a relational to a NoSQL database. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2015. CCIS, vol. 521, pp. 107–115. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18422-7_9

    Chapter  Google Scholar 

  12. Helander, J.: Deeply embedded XML communication: towards an interoperable and seamless world. In: Proceedings of the 5th ACM International Conference on Embedded Software, pp. 62–67. ACM (2005)

    Google Scholar 

  13. Jastrząb, T., Kwiatkowski, G., Sadowski, P.: Mapping of selected synsets to semantic features. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2015–2016. CCIS, vol. 613, pp. 357–367. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-34099-9_28

    Chapter  Google Scholar 

  14. Khaitan, S.K., McCalley, J.D.: Design techniques and applications of cyberphysical systems: A survey. IEEE Syst. J. 9(2), 350–365 (2015)

    Article  Google Scholar 

  15. Kobylecki, M., Kania, D.: Double-tick realization of binary control program. In: AIP Conference Proceedings, vol. 1790, p. 030009. AIP Publishing (2016)

    Google Scholar 

  16. Kozielski, M.: Multilevel conditional fuzzy c-means clustering of XML documents. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 532–539. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74976-9_55

    Chapter  Google Scholar 

  17. Krisp, H., Lamberg, K., Leinfellner, R.: Automated real-time testing of electronic control units. Technical report, SAE Technical Paper (2007)

    Google Scholar 

  18. Maedche, A., Staab, S.: Ontology learning for the semantic web. IEEE Intell. Syst. 16(2), 72–79 (2001)

    Article  Google Scholar 

  19. Pollard, E., Morignot, P., Nashashibi, F.: An ontology-based model to determine the automation level of an automated vehicle for co-driving. In: 2013 16th International Conference on Information Fusion (FUSION), pp. 596–603. IEEE (2013)

    Google Scholar 

  20. Regele, R.: Using ontology-based traffic models for more efficient decision making of autonomous vehicles. In: Fourth International Conference on Autonomic and Autonomous Systems, ICAS 2008, pp. 94–99. IEEE (2008)

    Google Scholar 

  21. Stanek, D., Mrozek, D., Małysiak-Mrozek, B.: MViewer: visualization of protein molecular structures stored in the PDB, mmCIF and PDBML data formats. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2013. CCIS, vol. 370, pp. 323–333. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38865-1_33

    Chapter  Google Scholar 

  22. Szafranski, G., Czyba, R., Janusz, W., Blotnicki, W.: Altitude estimation for the UAV’s applications based on sensors fusion algorithm. In: 2013 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 508–515. IEEE (2013)

    Google Scholar 

  23. Tewolde, G.S.: Sensor and network technology for intelligent transportation systems. In: 2012 IEEE International Conference on Electro/Information Technology (EIT), pp. 1–7. IEEE (2012)

    Google Scholar 

  24. Tokarz, K., Czekalski, P., Sieczkowski, W.: Integration of ultrasonic and inertial methods in indoor navigation system. Theor. Appl. Inform. 26 (2014)

    Google Scholar 

  25. Wang, Y., Vuran, M.C., Goddard, S.: Cyber-physical systems in industrial process control. ACM SIGBED Rev. 5(1), 12 (2008)

    Article  Google Scholar 

  26. Ziębiński, A., Świerc, S.: The VHDL implementation of reconfigurable MIPS processor. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds.) Man-Machine Interactions. AISC, vol. 59, pp. 663–669. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00563-3_69

    Chapter  Google Scholar 

  27. Ziebinski, A., Swierc, S.: Soft core processor generated based on the machine code of the application. J. Circ. Syst. Comput. 25(04), 1650029 (2016)

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported by the European Union from the FP7-PEOPLE-2013-IAPP AutoUniMo project “Automotive Production Engineering Unified Perspective based on Data Mining Methods and Virtual Factory Model” (grant agreement no. 612207) and research work financed from the funds for science in the years 2016-2017, which are allocated to an international co-financed project (grant agreement no. 3491/7.PR/15/2016/2).

Author information

Authors and Affiliations

  1. AIUT Sp. z o.o. (Ltd.), Gliwice, Poland

    Marek Drewniak

  2. Western Norway University of Applied Sciences, Bergen, Norway

    Marcin Fojcik

  3. Silesian University of Technology, Gliwice, Poland

    Damian Grzechca & Michal Kruk

Authors
  1. Marek Drewniak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcin Fojcik
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Damian Grzechca
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michal Kruk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marek Drewniak .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Drewniak, M., Fojcik, M., Grzechca, D., Kruk, M. (2018). A CANoe-Based Approach for Receiving XML Data over the Ethernet. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety. BDAS 2018. Communications in Computer and Information Science, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-319-99987-6_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99987-6_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99986-9

  • Online ISBN: 978-3-319-99987-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation