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" given in the winter semester by Dr. W. Koch. Based on the methods discussed and analyzed there, we proceed to methodological refinements and more advanced applications that directly lead us to the cutting edge 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 particle filtering, multi sensor fusion, and distributed estimation. We will understand power of these methods in their application to fusion problems taken from in recent research projects at Fraunhofer FKIE.
Course:
- Responsible: Dr. Felix Govaers
- Start: 11.04.2024
- Dates: Thursday, 14:00 - 16:00, weekly, Raum U.039, Informatikzentrum Poppelsdorf
- Course number: 612113233
Exercises:
- Responsible: Dr. Felix Govaers
- Start: 25.05.2024
- Dates: Thursday 16 - 18, weekly, room U.039, Informatikzentrum Poppelsdorf
- Course number: 612213233
Other:
- Term: Master Computer Science
- Requirements: Introduction to Sensor Data Fusion (applies for credit points only)
- Faculty: MA-INF 3233
- Effort: L2+E2 / 6CP
Literature
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The following book is recommeded but not required for additional information on distributed tracking:
Distributed Data Fusion for Network-Centric Operations
Authors: David Hall, Chee-Yee Chong, James Llinas, Martin Liggins
2012 by CRC Press
498 Pages
ISBN 9781439858301
In particular the chapters written by Chee-Yee Chong are well suited!