Exam

• There will be a written exam.
• The exam date is 17.09.2026
• Registration is done via the Campus Management Portal at KIT

Overview

The growing performance of measurement technology is constantly opening up innovative fields of application for engineers. Digital measurement methods are becoming increasingly important as they offer high performance, especially for complex tasks. Stochastic models of the measurement setup and the generation of measured variables are the basis for meaningful information processing and are increasingly becoming an indispensable tool for engineers, not only in measurement technology.
The lecture is aimed at students of mechanical engineering and related courses, who wish to acquire an interdisciplinary qualification. It provides an insight into digital technology and the basics of stochastics. Building on this, estimation methods can be developed that naturally translate into the elegant theory of state observers. Applications in the measurement signal processing of modern environmental sensors (video, lidar, radar) give the lecture a practical orientation and serve to consolidate what has been learned.

Content

• Signal processing
• Statistical measurement technology
• Stochastic modeling in measurement technology
• Stochastic and robust estimation methods
• Kalman filter
• Perception of the environment

Prerequisites

There are no prerequisites to fulfill.
Ideally, you have previously attended "Basics in Measurement and Control Systems" or have basic knowledge of measurement and control systems theory from a lecture in another faculty.