Examination Dates

Please note: The examination dates are

• 1st date: 31. July 2014
• 2nd date: 18. September 2014

Lecture: Advanced Sensor Data Fusion in Distributed Systems

This lecture series is a follow-on of the lectures on "Introduction to Sensor Data Fusion - Methods and Applications" delivered in the winter semester. Based on the methods discussed and analyzed there, we proceed to methodological refinements and more advanced applications that directly lead us to the frontline of current research and innovative applications of Sensor Data Fusion. After a brief recapitulation of what we have learned so far, we will look into more sophisticated sensor data fusion approaches, such as target motion analysis, particle filtering, expectation-maximization methods, extended target tracking, probability hypothesis and intensity filtering, adaptive sensor management. We will understand power of these methods in their application to fusion problems taken from in recent research projects at Fraunhofer FKIE. Successful participation in the exercises of the previous lecture series "Introduction to Sensor Data Fusion" is required.

Other:

• Term: Master Computer Science, Diploma (Graduate)
• Requirements: Introduction to Sensor Data Fusion (applies only for credit points and Vorlesungsschein)
• Faculty: (B) [B]
• Effort: V2Ü2 (6CP)

Exercise

There is a single programming exercise for this lecture.

Slides

The slides and other downloads are available from within the university or via password. The password is announced in the lectures or can be requested at lectureSDF@fkie.fraunhofer.de

Date	Slides
10.04.2014	Lecture 1
17.04.2014	Lecture 2
24.04.2014	Lecture 3
08.05.2014	Lecture 4
15.05.2014	Lecture 5
22.05.2014	Lecture 6
05.06.2014	Lecture 7
26.06.2014	Lecture 8

Assignment

Date	File
24.04.2014	empty project
08.05.2014	ds-project
15.05.2014	ds-project
16.05.2014	ds-project

Informative Papers on Sensor Data Fusion

Einführung in die Sensordatenfusion (dt.)	Sensordaten-_und_Informationsfusion.pdf
The Product-Formula	Product_Formula.pdf
A tutorial on Sensor Data Fusion (en.)	AESS_Tutorial_V__Koch.pdf
Perspectives for Tracking Applications (en.)	Perspectives_for_a_Backbone_Technology.pdf
Einführung in Tracking für Mathematiker (dt.)	Einfuehrung_der_SDF_fuer_Mathematiker.pdf
Bayesian Approach to Extended Object and Cluster Tracking using Random Matrices (en.)	Extended_Object_Cluster_Tracking_Random_Matrices.pdf
Publication on the ASD filter and Out-of-Sequence (OoS) Processing	IEEE_T-AES_OoS

Scala Tutorial

• in english
• in german