FPF:UIN3048 Autonomous UAV - Exercises - Course Information
UIN3048 Autonomous UAV - Exercises
Faculty of Philosophy and Science in OpavaWinter 2022
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- doc. Ing. Petr Čermák, Ph.D. (seminar tutor)
RNDr. Jiří Martinů, Ph.D. (seminar tutor) - Guaranteed by
- doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Timetable of Seminar Groups
- UIN3048/A: Tue 14:45–16:20 ROBO, J. Martinů
- 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 and Technology (programme FPF, N1801 Inf)
- Course objectives
- During these exercises students will be acquainted with programmable microprocessors ARM, primarily with STM32. This architecture is used to design of control systems of UAV. Students also will configure an open-source IDE for the architecture. The main goal of the course is to design own control system to control of a RC helicopter with simple cyclic.
- Syllabus
- 1. Basic statistical terms, statistical files, role of data in statistics, quantitative data
2. Installation and configuration of IDE for ARM processors
3. Compilation, remote debugging, libraries configuration
4. Working with ADC, loading values, communication with microprocessor
5. AWM signal generating, control of analog and digital servo
6. Implementation of control algorithms to revs control
7. Implementation of control algorithms to control of 90-degree cyclic of RC helicopter
8. Processing of signals from ultrasound and optical sensors
9. Implementation of basic obstacle avoidance algorithms
10. Principles of design of the own obstacle avoidance algorithm
11. Processing of image signal on ARM platform
12. Implementation of image segmentation on STM32 processor
- 1. Basic statistical terms, statistical files, role of data in statistics, quantitative data
- 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
- Credit
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period. - Teacher's information
- * 75% attendance in exercises, active participation
* 40 points exercise (programming), 60 points test
* minimal 51 points together.
- Enrolment Statistics (Winter 2022, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2022/UIN3048