Sensor Actuator Networks
Collaboration of sensors and actuators for environment exploration and dynamic motion planning
Developments of spatial and time-dependent deep (convolutional) networks, to Geometric Deep Learning or End-to-end Representation Learning.
Intelligent (bio-) sensors
Real-time conform processing of (time-related) data of adaptive (bio-)sensors under resource constraints
- Sensor Actuator Networks
- Intelligent (bio-) sensors
The Working Group for ''Intelligent Sensing in Computer Graphics'' (Priv.-Doz. Dr. Frank Weichert) at the Chair of Computer Graphics (Computer Science VII) performs innovative applied research in processing, analysis and visualization of 2D and 3D sensor data. Focussing on sensor technologies and data, the group tackles applications in the fields of computer vision, pattern matching, scientific visualization, simulation, optimization and human-machine interaction. On an abstract level, the topics often converge in the area of interactions between sensors, actuators and humans in cooperative environments.
Research and development of innovative concepts, methods and solutions for sensor data processing and analysis.
GPU accelerated methods for analysis, manipulation and generation of images, videos and 3D models.
Development of smart, resource efficient optical (bio)sensors for real-time data processing and analysis.
Entwicklung and Analyse interaktiver Systeme als auch intelligenter teilweise immersiver virtueller Umgebungen.
Research in spatiotemporal convolutional neural networks, geometric deep learning and representation learning.
Research in collaborative networks of distributed sensors, actuators and embedded systems.
3D Data Processing, Simulation and Visualization
Sensor-driven processing, analysis, simulation and visualization of large data sets under resource constraints.