An Integrated Low-Cost Underwater Navigation Solution for Divers Employing an INS Composed of Low-Cost Sensors Using the Robust Kalman Filter and Sensor Fusion
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View abstract on PubMed
Summary
This summary is machine-generated.Divers can now navigate underwater safely with a new Raspberry Pi-based system. This diver navigation system uses low-cost sensors and advanced filtering to accurately guide users along routes, preventing accidents.
Area Of Science
- Marine technology
- Navigation systems
- Sensor fusion
Background
- Diver navigation relies heavily on experience, leading to annual accidents due to disorientation.
- Existing systems may be costly or lack accuracy in underwater environments.
Purpose Of The Study
- To develop an affordable and accurate underwater navigation system for divers.
- To enhance diver safety by preventing accidents caused by navigation failure.
Main Methods
- Utilized Raspberry Pi with sensors (accelerometer, gyro, magnetometer, pressure gauge).
- Implemented high-pass filtering (HPF) for acceleration signals and Robust Kalman Filter (RKF) for noise reduction.
- Employed quaternion-based attitude and Kalman Filter (KF) for sensor fusion to mitigate drift and avoid gimbal lock.
Main Results
- Achieved low pitch/roll RMS errors (±1.23° and ±0.26°) in forced oscillator trials.
- Demonstrated successful navigation of 44 waypoints with <5m spacing in real-world conditions.
- Reported a start/end Global Navigation Satellite System (GNSS) positioning error of 6.67m.
Conclusions
- The developed system provides accurate and reliable underwater navigation for divers.
- The integration of low-cost sensors and advanced algorithms offers a viable solution for diver safety.
- This technology has the potential to significantly reduce diving-related accidents.
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