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International Conference on Internet of Vehicles

IOV 2019: Internet of Vehicles. Technologies and Services Toward Smart Cities pp 101–108Cite as

Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11894))

Abstract

The GNSS positioning technique are widely applied for land vehicle applications. However, the GNSS positioning technique is unable to ensure the continuity and the reliability in all land vehicle-driving environment. Therefore, to improve the accuracy of GNSS positioning technique, it is necessary to integrate additional sensors. In this study, we developed low-cost MEMS based IMU, magnetometers, and a single-frequency GNSS-RTK based positioning algorithm for the commercialization of land vehicle tracking and monitoring device. In addition, the performance of the proposed algorithm was evaluated using the data from real test-driving.

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References

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Acknowledgements

This work was supported by the Technology development Program (S2684640) funded by the Ministry of SMEs and Startups (MSS, Korea).

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Authors and Affiliations

  1. DGIST, 333 Techno jungang-daero, Daegu, 42988, South Korea

    Chi-ho Park & Joong-hee Han

Authors
  1. Chi-ho Park
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  2. Joong-hee Han
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Corresponding author

Correspondence to Chi-ho Park .

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Editors and Affiliations

  1. Chung Hua University, Hsinchu, Taiwan

    Ching-Hsien Hsu

  2. Saint-Quentin-en-Yvelines, Université de Versailles, Versailles Cedex, France

    Sondès Kallel

  3. China Medical University, Tainan, Taiwan

    Kun-Chan Lan

  4. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

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Cite this paper

Park, Ch., Han, Jh. (2020). Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device. In: Hsu, CH., Kallel, S., Lan, KC., Zheng, Z. (eds) Internet of Vehicles. Technologies and Services Toward Smart Cities. IOV 2019. Lecture Notes in Computer Science(), vol 11894. Springer, Cham. https://doi.org/10.1007/978-3-030-38651-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-38651-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38650-4

  • Online ISBN: 978-3-030-38651-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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