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Master Thesis „3D-sensor Data Processing for
vor 2 Wochen
Master Thesis „3D-Sensor data processing for automated large-scale machinery”
- Center for Vision, Automation & Control
- Our team’s expertise is the development and deployment of assistive and autonomous systems, particularly solutions for automated large-scale machinery (mobile machines, cranes, trucks), in cooperation with national and international companies and research organisations.
- Throughout your master’s thesis project, and under the guidance of our team, you will create algorithms for detection and modelling of objects that are handled by a large machine
- You will generate ideas and mathematical concepts, implement prototypic software, test and validate the approach with simulated and real-world sensor data against reference results
- A selected approach will be further developed to a simple proof-of-concept demonstrator on a real machine.
- You will have the opportunity to work with modern sensor systems, such as precise high-speed LiDARs. You will be able to see your contribution interacting within a real-world work process of heavy machines.
- Contribute to a rapidly growing field in machine automation.
- Gain experience in R&D activities as part of a team of experienced robotic experts and 3D-Vision scientists
our qualifications as an
**Ingenious Partner**:
- Ongoing master’s studies in computer science, mathematics, software engineering, robotics or similar
- Experience in script / programming languages: Python, C++
- Interested in point cloud processing and implementation of geometrical and topological algorithms
- Good knowledge of verbal and written English
**What to expect**:
EUR 828;
- gross per month for 20 hours/week based on the collective agreement. There will be additional company benefits. As a research institution. We are familiar with the supervision and execution of master theses and we are looking forward to supporting you accordingly
**CV, cover letter **and
**certificates **online.
**For further information, please contact**:
