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Course Catalog 2013-2014
TIE-52206 Inertial Sensors and their Applications, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Helena Leppäkoski, Jussi Collin
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Exam, exercises, and project work.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
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Learning Outcomes
After completing the course, the student will understand how to use consumer-grade inertial sensors and build applications utilizing them and know the basics of sensor applications on modern smartphones.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Inertial navigation principles, coordinate frames, errors. Level plane 2-D dead reckoning navigation system. | Tranformations between coordinate frames. | |
| 2. | Self-contained sensors: accelerometers and gyroscopes. Magnetometers, barometric altimeters. | ||
| 3. | Sensor errors, Allan variance. | ||
| 4. | Sensor APIs on smartphones. | ||
| 5. | Methods: Kalman filter, Least Squares for sensor calibration. | ||
| 6. | Applications: Pedestrian Dead Reckoning, orientation (UI), motion mode classification, games. |
Instructions for students on how to achieve the learning outcomes
Final exam
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Principles of GNSS, inertial, and multisensor integrated navigation systems | P. D., Groves | ISBN-10: 1580532551 | No | English | ||
| Book | Strapdown Inertial Navigation Technology | D. H. Tittertton | 1 56347 693 2 | Second Edition | No | English | |
| Lecture slides | Lecture slides: TIE-52206 Inertial Sensors and their Applications | Yes | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| TIE-02200 Basic course on programming | Advisable | |
| TIE-05200 Microprocessors | 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).
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| Lectures Excercises Practical works |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |