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Course Catalog 2014-2015
TIE-52206 Inertial Sensors and their Applications, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Jussi Parviainen, 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
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 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 |
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 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).
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 % |