Scientific Literature A twenty-two-state extended Kalman filter for Doppler- and rangeaided underwater navigation
Research Abstract & Technology Focus
Correlated Market Trend: Acoustics
Bridging academia to market: The 60-day public search velocity mapping directly to the core technology of this paper. Dashed line represents 7-day moving average.
AI Semantic Synergy Context
Connecting this academic literature to real-world market discussions and products.
Measurement-Interval Dynamically Iterated Kalman Filtering for Tightly Coupled INS/USBL Navigation of AUVs Under Large Initial Errors
Reliable navigation is fundamental to the operation of autonomous underwater vehicles (AUVs) in exploration, environmental monitoring, and so on. Tightly coupled inertial navigation system/ultra-sh...
Research and Field Test of Autonomous Underwater Vehicles Cooperative‐Navigation Method in Terrain Mapping
ABSTRACT A cooperative‐navigation algorithm based on an extended Kalman filter (EKF) is proposed for Leader–Follower autonomous underwater vehicles (AUVs) to address inconsistencies in inter‐vehicl...
Adaptive Robust EKF with NARX-Based Velocity Prediction for High Precision AUV Navigation Under DVL Outages
Autonomous Underwater Vehicles (AUVs) are widely employed for deep sea exploration and underwater operations, but their navigation performance is often degraded in complex environments due to time-...
Multi-Source Sensor Fusion Localization Method for Autonomous Underwater Vehicles Based on Deep Learning
Autonomous Underwater Vehicles (AUVs) are increasingly used in deep-sea exploration, environmental monitoring, and marine engineering. Their operational safety and mission performance rely heavily ...
RA-SIDO: Robust and Adaptive Sonar–Inertial–Depth Odometry for Consistent Underwater Acoustic 3D Mapping
Autonomous acoustic remote sensing of underwater infrastructure is challenging due to the physical characteristics of 3D sonar and the geometric degeneracy commonly encountered in feature-poor unde...
Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'A twenty-two-state extended Kalman filter for Doppler- and rangeaided underwater navigation'?
This literature focuses on: A twenty-two-state extended Kalman filter for Doppler- and rangeaided underwater navigation Chloe Jane Tully https://orcid.org/0009-0007-5661-7332 Tamworth, New South Wales, Australia 6 October 2026 Abstract Global navigation satellite signals are...
What other academic literature is closely related to 'A twenty-two-state extended Kalman filter for Doppler- and rangeaided underwater navigation'?
Yes, highly correlated activity was mapped. An entry titled 'Measurement-Interval Dynamically Iterated Kalman Filtering for Tightly Coupled INS/USBL Navigation of AUVs Under Large Initial Errors' discusses this: Reliable navigation is fundamental to the operation of autonomous underwater vehicles (AUVs) in exploration, environmental monitoring, and so on. T...
Cite this Market Intelligence Report
Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.
SaaS Metrics