Wichtiger Hinweis

Registrierungsprozess für die Prüfungen:

Der erste Prüfungstermin ist aufgeteilt auf den 26.7. und den 2.8. Sie können sich nun für einen Prüfungs-Slot an einem dieser Tage registrieren. Schreiben Sie herfür eine Email an Dr. Felix Govaers. Der zweite Prüfungstermin ist am 27.9.

Die Prüfungen finden in Raum 1.012 in der Informatik 4, Endenicher Allee 19A statt.

Aufgrund der gestiegenen Anzahl von angemeldeten Studierenden in der Vorlesung ist die Präsentation von Programmen im Rahmen der Übung freiwillig. Für die Prüfungszulassung bitten wir Sie jedoch, Ihre Programme per Email mit Namen und Matrikel-Nummern der Beteilligten bis zum 25.06.19 an Dr. Felix Govaers zu schicken!

Lecture: Einführung in die Sensordatenfusion

Sensor data fusion is an omnipresent phenomenon that existed prior to its technological realization or the scientific reaction on it. In fact, all living creatures, including human beings, by nature or intuitively perform sensor data fusion. Each in their own way, they combine or fuse sensations provided by different and mutually complementary sense organs with knowledge learned from previous experiences and communications from other creatures. As a result, they produce a mental picture of their individual environment, the basis of behaving appropriately in their struggle to avoid harm or successfully reach a particular goal in a given situation. Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, relia- bility, or cost. Appropriate collection, registration and alignment, stochastic filtering, logical analysis, space-time integration, exploitation of redundancies, quantitative evaluation, and appropriate display are part of Sensor Data Fusion as well as the integration of related context information. Today, Sensor Data Fusion is evolving at a rapid pace and present in countless everyday systems and civilian products.




  • Term: Bachelor Computer Science
  • Requirements:
  • Faculty: BA-INF 137
  • Effort: 2L+2E / 6CP
  • Exams: Information on the exams can be found in the Introduction Slides which are offered for download below. If you have further questions, please contact felix.govaers@fkie.fraunhofer.de.


The slides and other downloads are available from within the university or via passwort. The password is announced or can be requested from Felix Govaers.

A monograph of Prof. Koch on Object Tracking and Sensor Data Fusion can be downloaded undefinedhere.


03.04.19undefinedLecture 1
17.04.19undefinedLecture 2
24.04.19undefinedLecture 3
08.05.19undefinedLecture 4
22.05.19undefinedLecture 5
05.06.19undefinedLecture 6
19.06.19undefinedLecture 7
26.06.19undefinedLecture 8
03.07.19undefinedLecture 9

Exercise Sheets

Date     File
24.04.2019undefinedExercise 1
19.04.2019undefinedExercise 2
26.06.2019undefinedExercise 3



Additional Information

Die Vorlesung und weiterführende Themen werden in diesem Buch diskutiert.

Information on Sensor Data Fusion