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Vehicle Tracking System Using GPS/INS Integrated with Kalman Filter

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Last updated: 04 Jan 2025

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Abstract

Efficient vehicle tracking is critical in busy metropolitan areas. A new innovative tracking technique can improve the system performance for the cab companies which are used to serve inhabitants. In fact, detecting the exact position of the vehicle can help to direct the user to the nearest vehicle for the intended customer. It also provides a fast service which helps to reduce the traffic loads. In this paper, a combination between global positioning system (GPS) and Inertial navigation system (INS) integrated with Kalman filter will be developed in order to enhance the vehicle tracking performance. The system can be applied in many applications such as water vehicles, aircrafts, ships and cars. In this work, the target of this application is Taxi Companies vehicular tracking.

DOI

10.21608/asat.2011.23428

Authors

First Name

Marwa

Last Name

Algamal

MiddleName

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Affiliation

Department of Computer Engineering, Arab Academy for Science Technology and Maritime Transport.

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Orcid

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First Name

Gamal

Last Name

Selim

MiddleName

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Affiliation

Prof., Department of Computer Engineering, Arab Academy for Science Technology and Maritime Transport.

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Orcid

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First Name

Shawki

Last Name

Eid

MiddleName

-

Affiliation

Prof., Department of Computer Engineering, Arab Academy for Science Technology and Maritime Transport.

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Volume

14

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011

Related Issue

4330

Issue Date

2011-05-01

Receive Date

2019-01-02

Publish Date

2011-05-01

Page Start

1

Page End

7

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23428.html

Detail API

https://asat.journals.ekb.eg/service?article_code=23428

Order

111

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Vehicle Tracking System Using GPS/INS Integrated with Kalman Filter

Details

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Article

Created At

22 Jan 2023