UIN1207 UAV - Autonomous Platforms

Faculty of Philosophy and Science in Opava
Summer 2017
Extent and Intensity
2/2/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
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
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.)
Literature
    required literature
  • Novák, D. UAV autonomous systems. Opava, 2012. URL info
    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
The course is also listed under the following terms Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2018, Summer 2019, Summer 2020, Summer 2021, Summer 2022, Summer 2023, Summer 2024.
  • Enrolment Statistics (Summer 2017, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2017/UIN1207