Real-Time Sensor Data Processing and Mapping for UUV Navigation

Nico Prajogo

Abstract


Efficient navigation and mapping capabilities are essential for the successful operation of Unmanned Underwater Vehicles (UUVs) in complex underwater environments. This paper presents an advanced framework for real-time sonar data processing and mapping that enhances UUV navigation. We explore techniques such as simultaneous localization and mapping (SLAM) and adaptive filtering to process sonar data rapidly and accurately. The proposed framework integrates multiple sonar sensors to generate high-resolution maps while providing real-time feedback for navigation and obstacle avoidance. Experimental results demonstrate significant improvements in mapping accuracy and operational efficiency, highlighting the framework's potential to facilitate autonomous UUV missions in dynamic underwater scenarios. This research contributes to the development of robust navigation systems for UUVs, essential for applications such as marine research, environmental monitoring, and underwater inspections.

Keywords


UUV, sonar data processing, real-time mapping, navigation

References


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