Multi-Sensor Interactive Systems Group

* formerly Real-Time Computer Vision Group * AG EBV Sensor data is different. Everyone knows there is noise meaning that a sensor never exactly measures the truth. However, if there was only noise, life would be simple. Instead, the incredibly complex reality creates an incredible number of surprising phenomena that affect sensor data. This is particularly relevant for computer vision where light and shadows, blur and reflections, are only a few examples.

How can a computer interpret sensor data despite these many disturbances? The answer is a combination of intuition and formalism: Judge, which effects are relevant for your application; model these effects in a probabilistic framework; conceive algorithms that find the most likely interpretation of the sensor data.

The world is moving. Hence, a particular challenge is to run a probabilistic algorithm in real-time, because probabilistic methods are often time consuming. Our main focus is on engineering implementations that are both efficient and methodically sound.

News

01.03.2014 We are now the multi-sensorial interactive systems group

Topics

Research

Contract Research

Publications

Teaching (only in German)

People

Software and Video Downloads

Contact

Keywords

Simultaneous Localization and Mapping (SLAM), Structure from Motion (SfM), Tracking, (Extended/Unscented) Kalman Filter, Gaussian Mixture Models (GMM), Collision Avoidance, Sports Robotics