ELEC-E8740 - Basics of sensor fusion, 09.09.2019-09.12.2019

Materials

• Materials
  

  Materials

  The main course material is provided as Lecture Notes which can be found in the bottom of this page. The lecture handouts will also be uploaded here in the day of each lecture.

  • Lecture Notes File PDF document
  • Course Overview and Introduction to Sensor Fusion File PDF document
  • Notes from iPad 9.9.2019 File PDF document
  • Sensors, Models, and Least Squares Criterion File PDF document
  • Notes from iPad 11.9.2019 File PDF document
  • Static Linear Models and Linear Least Squares File PDF document
  • Notes from iPad 18.9.2019 File PDF document
  • Static Nonlinear Models, Gradient Descent, and Gauss-Newton File PDF document
  • Notes from iPad 25.9.2019 File PDF document
  • Gauss-Newton with Line Search and Levenberg-Marquardt Algorithm File PDF document
  • Notes from iPad 2.10.2019 File PDF document
  • Continuous and Discrete Time Dynamic Models File PDF document
  • Notes from iPad 9.10.2019 File PDF document
  • Lecture 7: Project File PDF document
  • Robot Dynamics File PDF document
  • Discretization of Continuous-Time Dynamic Models File PDF document
  • Notes from iPad 6.11.2019 File PDF document
  • Filtering Problem and Kalman Filtering File PDF document
  • Notes from iPad 13.11.2019 File PDF document
  • Extended and Unscented Kalman Filtering File PDF document
  • Notes from iPad 20.11.2019 File PDF document
  • Bootstrap Particle Filtering File PDF document
  • Notes from iPad 27.11.2019 File PDF document