Study Guide 2015-2016

TIE-52206 Inertial Sensors and their Applications, 5 cr

Additional information

Suitable for postgraduate studies

Person responsible

Jussi Parviainen, Jussi Collin

Lessons

Implementation 1: TIE-52206 2015-01

Study type P1 P2 P3 P4 Summer
Lectures
Excercises
Assignment



 



 
 2 h/week
 2 h/week



 36 h/per



 

Lecture times and places: Tuesday 14 - 15 TB224

Requirements

Exercises and project work.
Completion parts must belong to the same implementation

Learning Outcomes

After completing the course, the student can analyze sensor requirements and their design parameters. Student can design intelligent sensors and understands the concept of semantic sensor networks. Student is able to design an application that utilizes consumer-grade inertial sensors.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Sensor requirements, design parameters. Intelligent sensors.      
2. Inertial navigation principles, coordinate frames, errors.   Tranformations between coordinate frames.   
3. Self-contained sensors: accelerometers and gyroscopes. Magnetometers, barometric altimeters. Sensor errors, Allan variance.  1/f noise   
4. Sensor APIs on smartphones.     
5. Methods: Kalman filter, Least Squares for sensor calibration.  Map-matching, indexing   
6. Applications: Pedestrian Dead Reckoning, orientation (UI), motion mode classification, games.   North finding with MEMS gyroscopes   

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Principles of GNSS, inertial, and multisensor integrated navigation systems   P. D., Groves   ISBN-10: 1580532551       No   
Book   Strapdown Inertial Navigation Technology   D. H. Tittertton   1 56347 693 2     Second Edition   No   
Lecture slides   Lecture slides: TIE-52206 Inertial Sensors and their Applications           No   

Prerequisites

Course Mandatory/Advisable Description
TIE-02200 Ohjelmoinnin peruskurssi Advisable    
TIE-05200 Mikroprosessorit Advisable    

Additional information about prerequisites
Students are expected to be familiar with basic matrix algebra. Advisable background knowledge includes familiarity with sensor technologies (eg. ASE-3036 Microsensors) and positioning methods (eg. ELT-46006 Introduction to Satellite Positioning, MAT-60606 Mathematics for Positioning).



Correspondence of content

Course Corresponds course  Description 
TIE-52206 Inertial Sensors and their Applications, 5 cr TKT-2556 Basics of Inertial Navigation, 5 cr  

Last modified 26.02.2015