A big data system design to predict the vehicle slip

Joohyoung Jeon, Woosik Lee, Hyo Joo Cho, Hong Chul Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages592-596
Number of pages5
ISBN (Print)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

Keywords

  • Big data
  • Car-Slip
  • Extended Kalman Filter
  • NoSQL

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'A big data system design to predict the vehicle slip'. Together they form a unique fingerprint.

  • Cite this

    Jeon, J., Lee, W., Cho, H. J., & Lee, H. C. (2015). A big data system design to predict the vehicle slip. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings (pp. 592-596). [7364987] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAS.2015.7364987