This project focuses on inferring the intended trajectories of ships in various marine traffic situations. It represents a collaborative effort between the Bayesian Intelligent Autonomous Systems lab at TU Eindhoven and Wuhan University of Technology.
Project Components:
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Intent Inference Code for Simulations:
- intent_inference_for_simulation.ipynb
- This notebook showcases simulation results in overtaking, head-on, and crossing situations.
- intent_inference_for_simulation.ipynb
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Intent Inference Code for real data:
- intent_inference_for_real_data.ipynb
- Contains the intent inference code tailored for real-world AIS data.
- intent_inference_for_real_data.ipynb
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Baseline Models:
- compare_model
- This directory includes all baseline models used for comparison.
- compare_model
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Additional Intent Inference Cases:
- more_case
- Provides additional intent inference cases observed in real-world AIS data.
- more_case
Explore the provided links for detailed insights into each aspect of the project. Your feedback and collaboration are highly valued.