FPF:UIRIG31 UAV - Autonomous Platforms - Course Information
UIRIG31 UAV - Autonomous Platforms
Faculty of Philosophy and Science in OpavaWinter 2017
- Extent and Intensity
- 0/0. 0 credit(s). Type of Completion: -.
- Guaranteed by
- Institute of Computer Science – Faculty of Philosophy and Science in Opava
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Computer Science (programme FPF, N1801 Inf)
- Course objectives
- This course is focused on perspective field of UAV (Unmanned Autonomous Vehicles) which represents one of part of robotics.
- Syllabus
- 1. UAV platforms - classification and security
2. Mechanical structure of UAV and mechanical parts
3. Electro-mechanical parts of UAV platforms
4. RC set, connection, functions and using
5. Sensors and their technologies used for UAV construction
6. Communication protocols with intelligent sensors (ultrasound, sensors, GPS, camera, gyroscope, magnet, speed sensor, etc.)
7. Gyroscopes and systems for automatic control of RC models
8. Suitable C PU boards to control
9. SW structure of UAV as subsumption architecture of an autonomous agent
10. Real-time image analysis to interaction mode agent-environment
11. Multi-agent UAV platforms
12. Using UAV in practice (army, navy, medicine, etc.)
- 1. UAV platforms - classification and security
- Literature
- recommended literature
- NONAMI, K. ? KENDOUL, F. ? SUZUKI, S. ? WANG, W. ? NAKAZAWA, D. Autonomus Flying Robots, Unmanned Aerial Vehicles and Micro Aerial Vehicles. Berlin, 2010. ISBN 978-4-431-53855-4. info
- VÁŇA, V. ARM pro začátečníky. Praha, 2009. ISBN 978-80-7300-246-6. info
- VALAVANIS, K. P. Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy In: Intelligent Systems, Control and Automation: Science and Engineering. Berlin, 2007. ISBN 978-1-4020-6. info
- NOVÁK, P. Mobilní roboty. Praha, 2005. ISBN 80-7300-141-1. info
- ZELINKA, I. Umělá inteligence: Hrozba nebo naděje? Praha, 2003. ISBN 80-7300-068-7. info
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- * 75% attendance in the lecture and exercises, active participation
* 30 points from seminar work, 70 points for exam
- Enrolment Statistics (Winter 2017, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2017/UIRIG31