Path Planning Algorithms for Autonomous Underwater Vehicles

🧐 What Problem Does This Project Solve?

Efficient and accurate path planning is critical for the successful operation of autonomous underwater vehicles (AUVs) in challenging underwater environments. This project addresses the need for a reliable system to simulate and evaluate path planning algorithms for AUVs before real-world implementation.

🛠️ How Was the Problem Solved?

The project developed a robust simulation platform and path planning system using C++ and OMNeT++. Key steps included:

• Utilizing image processing techniques to convert environmental data into binary formats for algorithm input.
• Creating a simulation environment in OMNeT++ to test and refine algorithms for underwater navigation.
• Implementing a structured five-step process covering mission planning, execution, simulation, validation, and result evaluation.
• Proposing an advanced system architecture for communication between AUVs to enhance mission collaboration.

✅ How Close Did This Project Get to Solving the Problem?

The project provided a fully functional simulation environment and demonstrated the effectiveness of tested algorithms in controlled settings. Key achievements include:

• A reliable platform for testing AUV path planning strategies.
• Enhanced collaboration capabilities among AUVs through proposed communication systems.
• Comprehensive evaluation and validation of algorithms to ensure real-world applicability.

This project sets the stage for more advanced research in underwater robotics and path planning systems.