Experiments
Testing sensor performance for autonomous ship navigation scenarios.
Sensor Experiments
Combining theoretical analysis with practical testing for sensor applications.


Performance Testing
Conducting experiments to evaluate sensor performance in marine navigation scenarios.


Data Analysis
Analyzing data collection accuracy and environmental adaptability of selected sensors.
Combined with the ship's navigation requirements, determine the optimal sensor combination scheme through comparative experiments. Then, based on the selected sensor combination, study AI data fusion and processing algorithms. Use machine learning and deep learning algorithms (such as convolutional neural networks and long short-term memory networks) to develop a fusion model for multi-source heterogeneous data, and train and optimize it on simulated data and actual collected data.