Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

Khaled Obaideen; Yousuf Faroukh; Mohammad AlShabi

doi:10.1117/12.3013821

7 June 2024 Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

Khaled Obaideen, Yousuf Faroukh, Mohammad AlShabi

Proceedings Volume 13052, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024; 1305207 (2024) https://doi.org/10.1117/12.3013821
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

This paper tackles the new utilization of acoustic tomography and synthetic data modeling to improve autonomous navigation systems, especially in environments where traditional navigation tools, such as GPS, are either restricted or absent. Thus, acoustic tomography, based on sound waves, as well as synthetic data modeling which creates unrealized but realistic navigation scenarios, seems to be a very useful way of enhancing accessible navigation in terms of reliability, precision, and adaptability. This research via a comprehensive literature review, review, and synthesis of current research articulates the promise of these technologies to transform navigation systems. It focuses on the approach in the integration of acoustic sensing with computational models in developing the system autonomy, covering the technological advancements and the problems. Besides, implications of the research to the whole range of applications from underwater exploration to urban autonomous vehicles specify the requirement of innovation and exploration development in this sphere. By providing a broad review and evaluation of the interactions of acoustic tomography with synthetic data modeling, this paper seeks to promote progress in autonomous navigation technologies, laying the groundwork for the future studies and engineering work in navigation through the world's most difficult environments.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Khaled Obaideen, Yousuf Faroukh, and Mohammad AlShabi "Enhancing autonomous navigation: acoustic tomography through synthetic data modeling", Proc. SPIE 13052, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024, 1305207 (7 June 2024); https://doi.org/10.1117/12.3013821

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