Omfattning: 5

Tidtabel: 09.09.2019 - 09.12.2019

Kontaktuppgifter till kursens personal (gäller denna kursomgång): 

Lectures

Main lecturer Prof. Simo Särkkä (simo.sarkka@aalto.fi), Office F305, Rakentajanaukio 2
Secondary lecturer Dr. Muhammad Emzir (muhammad.emzir@aalto.fi), Office F307, Rakentajanaukio 2

Office hours: Please send an email to book an appointment.

Exercises and Project work

Dr. Muhammad Emzir (muhammad.emzir@aalto.fi), Office F307, Rakentajanaukio 2



Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

I-II 2018-2019 (autumn)

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

After successfully completing this course, the participants are able to

  • explain the principles and components of sensor fusion systems,
  • construct continuous and discrete time state space models based on ordinary differential equations, difference equations, and physical sensor models,
  • identify and explain the differences between linear and nonlinear models and their implications on sensor fusion
  • develop and compare state space models and Kalman as well as particle filtering algorithms for solving sensor fusion problems.

Innehåll (är i kraft 01.08.2018-31.07.2020): 

The course content includes: Probabilistic modeling of dynamic systems, sensor models, batch estimation, Kalman and extended Kalman filtering, bootstrap particle filtering.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

Project work, exercises, and final examination

Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

36 h contact teaching, 97 h independent studies

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

Gustafsson: Statistical Sensor Fusion (2012), handouts

Närmare information om kursmaterial (gäller denna kursomgång): 

The course is mainly based on lecture notes and handouts that will be made available on the course homepage. Optionally, the students may also purchase the textbook "Statistical Sensor Fusion" by F. Gustafsson (not mandatory).



Förkunskaper (är i kraft 01.08.2018-31.07.2020): 

Basics of linear algebra and calculus, basic programming knowledge (MATLAB or Python), basics of statistics.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Anmälning (är i kraft 01.08.2018-31.07.2020): 

Weboodi

Tilläggsinformation (är i kraft 01.08.2018-31.07.2020): 

Language class 3: English

Närmare information om tidtabellen (gäller denna kursomgång): 

Lectures: Lectures are held on Wednesdays, 14:15 - 16:00 (except for the first lecture on Monday, Sep 9, 2019, 14:15 - 16:00) in F175b, Health Technology House, Otakaari 3.

Exercises: Exercise sessions are held on Mondays, 14:15 - 16.00 in F175b, Health Technology House, Otakaari 3, starting on Monday, Sep 16, 2019.

Beskrivning

Anmälning och tillläggsinformation