ARCortex is seeking the development of a real-time process or algorithm to align and merge static terrain mesh data with dynamically scanned 3D mesh data collected locally around the user. The goal is to ensure accurate collision detection and occlusion in their AR system, which is built using Unity and targets Android and iOS platforms. The project involves exploring AI techniques to enhance the speed and robustness of the alignment process. The solution should be capable of running on a mobile device or communicating with the Unity app via an API, even if it requires a separate process or machine. This project provides an opportunity for learners to apply their knowledge of computer vision, AI, and AR development in a practical, industry-relevant context.

Key points:

- Develop a real-time algorithm for aligning static and dynamic 3D mesh data.

- Ensure accurate collision detection and occlusion in the AR system.

- Explore AI techniques for faster and more robust alignment.

- Implement the solution to be compatible with Unity on Android and iOS.

The project deliverables include:

- A detailed report outlining the developed algorithm or process, including AI techniques explored.

- A working prototype of the alignment solution integrated with a Unity AR application.

- Documentation and a user guide for implementing and using the solution.

- A presentation demonstrating the solution's effectiveness and performance.

Key points:

- Detailed report on the algorithm and AI techniques.

- Working prototype integrated with Unity.

- Comprehensive documentation and user guide.

- Presentation of the solution's performance.

We can provide the AR software, meshes from map and sensor data, assistance with Unity, regular meetings and whatever helps for the success of the project