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Artificial Intelligence in Navigation Systems

Artificial Intelligence in Navigation Systems

Ghalia Nasserddine, Amal A. El Arid
Copyright: © 2023 |Pages: 22
ISBN13: 9781668469378|ISBN10: 1668469375|ISBN13 Softcover: 9781668469385|EISBN13: 9781668469392
DOI: 10.4018/978-1-6684-6937-8.ch005
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MLA

Nasserddine, Ghalia, and Amal A. El Arid. "Artificial Intelligence in Navigation Systems." Handbook of Research on AI Methods and Applications in Computer Engineering, edited by Sanaa Kaddoura, IGI Global, 2023, pp. 86-107. https://doi.org/10.4018/978-1-6684-6937-8.ch005

APA

Nasserddine, G. & El Arid, A. A. (2023). Artificial Intelligence in Navigation Systems. In S. Kaddoura (Ed.), Handbook of Research on AI Methods and Applications in Computer Engineering (pp. 86-107). IGI Global. https://doi.org/10.4018/978-1-6684-6937-8.ch005

Chicago

Nasserddine, Ghalia, and Amal A. El Arid. "Artificial Intelligence in Navigation Systems." In Handbook of Research on AI Methods and Applications in Computer Engineering, edited by Sanaa Kaddoura, 86-107. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6937-8.ch005

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Abstract

The computer-based navigation system computes the object's position, speed, and direction in real-time. In the last decades, many researchers, companies, and industries have been working on improving the existing navigation system due to its vast application in military and civilian activities. Typically, navigation systems are based on integrating inertial navigation systems and global positioning systems using a Bayesian filter, like the Kalman filter. The limitations of the Kalman filter have inspired researchers to consider alternatives based on artificial intelligence. Recently, many types of research have been developed to validate the possibility of using artificial intelligence methods in navigation systems. This chapter aims to review the integration of artificial intelligence techniques in navigation systems.

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