[57] |
Relative positioning system |
the propagation times of acoustic used to measure the position of buoys |
temperature, depth, salinity, bottom and water densities, wind speed or sound speed at bottom material |
signal frequency, hydrophones’ depth, the aperture angle of the transducer or the position of the buoys |
Able to understand the region surface current |
[58] |
Adaptation of data and model-based framework |
apply a high-fidelity acoustic modeling infrastructure |
Sea state, Sea floor depth |
Source and receiver (Buoy) depth and speed, Source Level, Frequency (carrier), Bandwidth, Modulation |
A set of behaviors able to extend the decision of typical behavior-based systems |
[59] |
An intelligent online framework for communication environment changes |
Provide database tracks for communications layer visibility |
Bathmetry, bottom type, water column |
Mission Path Size, Ambient Noise, Sound Speed Profile, Vehicle Type |
can provide acoustic modem optimization for collaborative AUV missions |
[60] |
A C-SLAM algorithm |
communication packets generation with observed features |
Doppler velocity |
Strategy, design measurements |
Allow associating the uncertainties position of vehicles without infrastructure |
[61] |
A decentralized formation control algorithm |
Maintain the distance and angle without relies on leader robot information |
location of the obstacle |
avoidance layer, formation generation layer |
Enable shortening the procedure of the information process |
[62] |
A data-driven method |
Minimize the target location error of the onboard tracker |
sound speed, noise level, reflection loss gradient, maximum depth |
prediction steps, step time length, heading choices, maximum heading change decisions |
ability to handle outliers and computational limitations |
[63] |
A software/hardware hybrid system |
Real-time AUVs operation with acoustic modem telemetry |
Ocean model, acoustic model |
Communication model |
The design is flexible to existing and new modems |
[64] |
stochastic level-set partial differential equations |
calculate stochastic reliability in three different scenarios |
Wind stress, ocean flows |
vehicle-speed |
the vehicles can move in unreliable flows of coastal ocean |