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

Chi ho Park; Joong hee Han

doi:10.1007/978-3-030-38651-1_10

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

Chi ho Park, Joong hee Han

Division of Electronics & Information System

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings
Editors	Ching-Hsien Hsu, Sondès Kallel, Kun-Chan Lan, Zibin Zheng
Publisher	Springer
Pages	101-108
Number of pages	8
ISBN (Print)	9783030386504
DOIs	https://doi.org/10.1007/978-3-030-38651-1_10
State	Published - 2020
Event	6th International Conference on Internet of Vehicles and the 9th International Symposium on Cloud and Service Computing, IOV/SC2 2019 - Kaohsiung, Taiwan, Province of China Duration: 18 Nov 2019 → 21 Nov 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11894 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Internet of Vehicles and the 9th International Symposium on Cloud and Service Computing, IOV/SC2 2019
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	18/11/19 → 21/11/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

GNSS
IMU
Land vehicle
Magnetometer
Positioning

Access to Document

10.1007/978-3-030-38651-1_10

Cite this

Park, C. H., & Han, J. H. (2020). Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device. In C.-H. Hsu, S. Kallel, K.-C. Lan, & Z. Zheng (Eds.), Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings (pp. 101-108). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11894 LNCS). Springer. https://doi.org/10.1007/978-3-030-38651-1_10

Park, Chi ho ; Han, Joong hee. / Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device. Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings. editor / Ching-Hsien Hsu ; Sondès Kallel ; Kun-Chan Lan ; Zibin Zheng. Springer, 2020. pp. 101-108 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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year = "2020",

doi = "10.1007/978-3-030-38651-1_10",

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Park, CH & Han, JH 2020, Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device. in C-H Hsu, S Kallel, K-C Lan & Z Zheng (eds), Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11894 LNCS, Springer, pp. 101-108, 6th International Conference on Internet of Vehicles and the 9th International Symposium on Cloud and Service Computing, IOV/SC2 2019, Kaohsiung, Taiwan, Province of China, 18/11/19. https://doi.org/10.1007/978-3-030-38651-1_10

Development of Low-Cost Sensors Based Multi-sensors Integration Positioning Algorithm for Land Vehicle Tracking and Monitoring Device. / Park, Chi ho; Han, Joong hee.
Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings. ed. / Ching-Hsien Hsu; Sondès Kallel; Kun-Chan Lan; Zibin Zheng. Springer, 2020. p. 101-108 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11894 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Han, Joong hee

PY - 2020

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N2 - 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.

AB - 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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KW - IMU

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KW - Magnetometer

KW - Positioning

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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ER -

Park CH, Han JH. 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, editors, Internet of Vehicles. Technologies and Services Toward Smart Cities - 6th International Conference, IOV 2019, Proceedings. Springer. 2020. p. 101-108. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-38651-1_10

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

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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