BSc Thesis (15HP): Underground Mining Driver Behavior Analysis

Underground mining environments present unique challenges for vehicle operation, where human drivers and autonomous systems must safely coexist in narrow corridors with limited visibility and complex traffic patterns. Understanding driver behavior and decision-making in these environments is crucial for improving safety protocols and designing better autonomous systems.

This project aims to develop a high-fidelity driving simulator for underground mining scenarios using Unity3D, with a specific focus on modeling and analyzing interaction patterns between human-operated and autonomous vehicles. The simulator will serve as a platform for conducting experimental studies on driver behavior in various conflict situations, such as corridor intersections, passing scenarios, and emergency situations.

The work will contribute to ongoing research in human-automation interaction in mining environments and provide valuable insights for the development of safety protocols and autonomous vehicle systems. The project combines elements of 3D visualization, traffic simulation, data collection, and behavioral analysis.

Specific Tasks

  • Develop a realistic 3D underground mining environment in Unity3D, based on existing 3D model.
  • Implement vehicle physics and control systems for both manual and autonomous operation
  • Design and implement multiple experimental scenarios focusing on vehicle interactions
  • Conduct preliminary user studies to validate the simulation platform
  • Document the system architecture and experimental findings
    The project is good for those interested in gaming and simulations and eager to learn Unity. Strong programming skill in either C++ or C# or Java is a must.

Contact

Andrey Kiselev (andrey.kiselev@oru.se)

 

Annonsuppgifter

Annonsör: Örebro universitet

Ansök senast:

Annonskategori: Examensarbete, praktik, uppsats

Intresseområde: Data och IT, Teknik och matematik

Kontaktperson: Andrey Kiselev andrey.kiselev@oru.se