INS/DVL Fusion with DVL Based Acceleration Measurements
Orzion Levy, Itzik Klein

TL;DR
This paper introduces a novel method for AUV navigation that enhances INS/DVL fusion by incorporating acceleration measurements derived from past DVL data, leading to faster convergence and improved accuracy.
Contribution
The paper proposes calculating AUV acceleration from DVL measurements and using it as an additional update in INS/DVL fusion, which is a new approach to improve navigation accuracy.
Findings
Significant improvement in navigation accuracy.
Rapid convergence of the proposed method.
Validated through simulations and sea experiments.
Abstract
Autonomous underwater vehicles (AUVs) are increasingly used in many applications such as oceanographic surveys, mapping, and inspection of underwater structures. To successfully complete those tasks, a Doppler velocity log (DVL) and an inertial navigation system (INS) are utilized to determine the AUV navigation solution. In such fusion, DVL velocity measurement is used to update the navigation states. In this paper, we propose calculating the AUV acceleration vector based on past DVL measurements and using it as an additional update to increase the system's accuracy. Simulations and sea experiments were conducted to demonstrate the efficiency of our approach. The results indicate that the proposed method exhibits rapid convergence and significantly improves the overall performance compared to the baseline INS and DVL fusion approach.
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Taxonomy
TopicsUnderwater Vehicles and Communication Systems · Inertial Sensor and Navigation · Target Tracking and Data Fusion in Sensor Networks
