Laajuus: 5

Aikataulu: 09.09.2019 - 09.12.2019

Kurssin yhteystiedot (koskee tätä kurssikertaa): 

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



Opetusperiodi (voimassa 01.08.2018-31.07.2020): 

I-II 2018-2019 (autumn)

Osaamistavoitteet (voimassa 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.

Sisältö (voimassa 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.

Toteutus, työmuodot ja arvosteluperusteet (voimassa 01.08.2018-31.07.2020): 

Project work, exercises, and final examination

Työmäärä toteutustavoittain (voimassa 01.08.2018-31.07.2020): 

36 h contact teaching, 97 h independent studies

Oppimateriaali (voimassa 01.08.2018-31.07.2020): 

Gustafsson: Statistical Sensor Fusion (2012), handouts

Tarkennukset oppimateriaaliin (koskee tätä kurssikertaa): 

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).



Esitiedot (voimassa 01.08.2018-31.07.2020): 

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

Arvosteluasteikko (voimassa 01.08.2018-31.07.2020): 

0-5

Ilmoittautuminen (voimassa 01.08.2018-31.07.2020): 

Weboodi

Lisätietoja (voimassa 01.08.2018-31.07.2020): 

Language class 3: English

Kurssin aikataulu (koskee tätä kurssikertaa): 

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.

Opintojakson kuvaus

Ilmoittautuminen ja lisätiedot