Master's Thesis Semantic Point Cloud Filtering and Matching for Long-Term SLAM
Fraunhofer-Gesellschaft · Stuttgart
ThesisGerman needed: not said
Still open on 1 NovKey facts
- Subject you study
- Automation Engineering, Electrical Engineering, Computer Science
What you'll do
- Development of an autonomous outdoor navigation solution and the hardware of our robots. The robot must continuously update its representation of the entire environment. The localization module must recognize which areas are static, semi-static or dynamic, and adapt the global point cloud reference map accordingly. Improve scan matching between live point clouds and the global point cloud map.
What you need
- Advertisement for fields of study such as: Automation Engineering, Electrical Engineering, Computer Science or comparable.