UROP Project
Enhance underground mining vision by thermal imaging using ROS
Contact
Key Info
Basic Information
- Project Offer-Number:
- 1117
- Category:
- Keine eindeutige Zuordnung
- Field:
- Electrical Engineering, Information Technology and Computer Engineering
- Faculty:
- 5
- Organisation unit:
- RWTH Aachen University, Advanced Mining Technologies (AMT)
- Language Skills:
- English and/or German
- Computer Skills:
- Some programming skills (either C++, Python or Matlab), Optional: experience with Linux, Some knowledge of Robot Operating System (ROS)
- Others:
- - Work in a comfortable and creative environment within a focused team; - Aachen is a big center of engineering; - Aachen is located in the three country corner, lots to see and travel; - Students get a regional train pass to travel around; - Institute is located right next to the city center, everything is around
MoveOn
As part of our internal research an optical multi-sensor platform is being developed. This platform uses multiple different optical sensors such as a thermal camera, a visual camera and a depth camera to perform object recognition. This is essential to find injured workers, distinguish between e.g. different rock types or geological structures and many other tasks.
Task
- Further develop the sensor fusion by using ROS - Collect and validate data with the sensor platform - Have fun by working with different interesting sensors and algorithms while contributing to ongoing research
Requirements
- Research oriented mindset - Interest in practical experiments - Experience with robotics beneficial - Strong problem solving skills