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ELEC-E8740 - Basics of sensor fusion, 09.09.2019-09.12.2019
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Lecture Notes
Course Overview and Introduction to Sensor Fusion
Notes from iPad 9.9.2019
Sensors, Models, and Least Squares Criterion
Notes from iPad 11.9.2019
Static Linear Models and Linear Least Squares
Notes from iPad 18.9.2019
Static Nonlinear Models, Gradient Descent, and Gauss-Newton
Notes from iPad 25.9.2019
Gauss-Newton with Line Search and Levenberg-Marquardt Algorithm
Notes from iPad 2.10.2019
Continuous and Discrete Time Dynamic Models
Notes from iPad 9.10.2019
Lecture 7: Project
Robot Dynamics
Discretization of Continuous-Time Dynamic Models
Notes from iPad 6.11.2019
Filtering Problem and Kalman Filtering
Notes from iPad 13.11.2019
Extended and Unscented Kalman Filtering
Notes from iPad 20.11.2019
Bootstrap Particle Filtering
Notes from iPad 27.11.2019
Exercise 1
Exercise 2
Solution to Exercise 2
Exercise 3
Algorithm for Exercise 3
Exercise 4
Solution to Exercise 1
Algorithm for exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8
Solution to Exercise 7
Solution to Exercise 8
Exercise 9
ex9 simulation
Project Guide
Groups for Sensor Fusion Project
Basics Sensor Fusion Schedule
Final Project Report Submission
Exam results 27.1.2020
Exam results 9.12.2019
Results of projects in 2019
Final Project Report Submission ►
ELEC-E8740 - Basics of sensor fusion, 09.09.2019-09.12.2019
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