Project Group: Intelligente Sehsysteme (Block Course)

Intelligent vision systems are a key component of modern robotics and autonomous systems. Cameras, depth sensors, LiDAR, and other imaging sensors enable machines to perceive, understand, and react to their environment – ranging from unmanned aerial systems such as drones, to stationary ground-based sensor systems, and maritime platforms on ships, for applications such as navigation, inspection, monitoring, and mapping. The project group provides students with practical insight into the development of intelligent visual systems. The focus lies on topics such as computer vision, image processing, machine learning, visual localization, 3D reconstruction, and sensor-based navigation. Tasks are usually based on current scientific publications that need to be understood, implemented, and presented. The goal is to provide both a solid theoretical foundation and hands-on experience with modern methods and tools for visual perception.

Course:

Other:

  • Term: Bachelor Computer Science
  • Requirements: Knowledge of computer vision and image processing, as well as proficiency in the programming languages C/C++ or Python, is a plus.
  • Faculty: BA-INF 051
  • Effort: 2S+3P / 9CP

Topics

The topics offered are taken from the field of computer vision, with students being provided with datasets and sensor data from real-world vision systems. Possible tasks include current scientific questions such as semantic segmentation, the fusion of imaging sensors (e.g., RGB and infrared images), visual localization, object recognition, and explainable artificial intelligence (XAI). Specific topic proposals are based on current scientific publications and will be presented and explained in more detail during the kick-off meeting.