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Lectures

-All lectures are going to take place in the classroom EA307 between 10:40 and 13:30 on Wednesdays.

-Each lecture below covers a content of approximately 2 weeks = 6 lecture hours.

Nr. Contents Reading Slides
1 Information about the course.
Introduction to state estimation and Kalman filtering
Ch. [3]

pdf
pdf

2 Target tracking concepts and main issues. Ch. [1]

pdf

3 Single target tracking issues: Track initiation, maintenance, deletion and association Ch. [6.1-6.3]

pdf

4

Maneuvering target tracking: Classical Approaches
Multiple model filtering, IMM filter

Ch. [4.1-4.2], [4.4-4.4.3], [4.4.3-4.6]

pdf

5 Multiple target tracking Part I. Single hypothesis tracking: GNN and Auction algorithm, JPDA Ch. [6.4-6.5.1] ,[6.6]

pdf

6 Multi Target Tracking Part II. Multiple hypothesis tracking MHT Ch. [6.7-6.8]

pdf

7 Multiple sensor issues and architectures
Track association and fusion
Ch. [9.1-9.3]
[9.6], [10.4]

pdf

8 An overview of advanced target tracking methods Ch. [7.7-7.8]