Project 1 Plan (Feiyue) 

Evaluating Simulation in AR

This project investigates the feasibility of running particle simulations in augmented reality. It evaluates popular game engines and frameworks from multiple perspectives, including performance and development costs, to determine the most effective approach for building simulation applications.

Deliverables

• Summary of Quest 3's ability to run particle simulation

• Evaluation of engines & frameworks for building simulation applications

  • Support for AR capability

  • Software performance

  • Hardware compatibility

  • Adoption complexity

  • User experience

Topics of Interest

• • Game Engines

    • Unity

    • Unreal

    • Godot

  • WebXR Framework

    • Three.js

    • Babylon.js

    • A-Frame

Data

• Dataset of turbulent flow over interacting barchan dunes

• JetClass (A Large-Scale Dataset for Deep Learning in Jet Physics)

• DrivAerNet (A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction)

Class Activity

• Group 1 (engine/framework 1)

  • View simulation with a laptop screen (baseline)

  • View simulation with Quest 3 in VR

  • View simulation with Quest 3 in AR

• Group 2 (engine/framework 2)

  • Repeat the above

Milestones

• 2/11: Finalize the list of engines/frameworks for simulation

• 2/13: Research on the items on the list, with focus on their hardware compatibility, AR capability, and the difficulty to develop

• 2/20: Build simulation demo with 2 of the items on the list that best suit the use case of particle simulation in AR

• 2/25: Evaluate the performance and user experience of the demos

• 2/27: Collect user feedback in class activity

• 3/04: Improve the visualization based on user feedback

• 3/06: Finish all deliverables

Resources

• AR Development in Unity

• Unreal Engine for XR

• An AR/VR Primer for Godot

• Three.js Documentation

• Interactive Particle Simulation with Three.js

• Babylon.js Documentation

• A-Frame Documentation