SF Course

This is work in progress for developing a series of modules for self studies in sensor fusion. Each module consists of a video lecture, slides, reading advice and recommended exercises. The videos are also available as a YouTube playlist for your convenience, sorted in the way we anticipate make them the most accessible.

Nr Subject Book Chapter Material Exercises
1 Introduction 1 slidesvideo (7:50)  
2 WLS 2-2.2 slidesvideo (9:15)  
3 The Fusion Formula 2.3 slides, video (6:41)  
4 Safe Fusion 2.3.5 slidesvideo (6:56)  
5 ML and CRLB 2.4-2.5 slidesvideo (9:34)  
6 NLS 3-3.2, 3.6 slidesvideo (12:23)  
7 Parameter Estimation using Nonlinear Transformations 3.4 (first part), 3.5 slidesvideo (12:26), m-files (for 7-9)  
8 Nonlinear Transformations Using Taylor Series Expansions 3.4.3 slidesvideo (6:53) 3.1ab, 3.2a-c,
9 Nonlinear Transformations Using Samples 3.4.2, 3.4.4 slides, video (9:49) 3.1c
10 Sensor networks: NLS 4-4.2 slides, video (12:59)  
11 Sensor networks: Tricks 4.3-4.6 slidesvideo (11:14)  
12 Detection theory 5 slides, video (11:21)  
13