Autonomous Systems Perception

Course Information
TitleΑντίληψη αυτόνομων συστημάτων / Autonomous Systems Perception
CodeDMCI203
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorIoannis Pitas
CommonNo
StatusActive
Course ID600016147

Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 eōs sīmera) MF

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization217.5

Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 éōs sīmera) PF

Registered students: 10
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization217.5

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600185449
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic mathematical knowledge. Programming knowledge (C/C++, or Python, MATLAB. Capabilities to study scientific literature in English
Learning Outcomes
Autonomous systems. Visual and other sensors. Image/video basics, formats and digitization. Video processing. Video streaming and compression. Motion estimation. Object tracking. Object detection. Object pose estimation. SLAM. Face/person detection. Facial expression recognition. Activity recognition. Video description. Video indexing and retrieval.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Autonomous systems. Visual and other sensors. Image/video basics, formats and digitization. Video processing. Video streaming and compression. Motion estimation. Object tracking. Object detection. Object pose estimation. SLAM. Face/person detection. Facial expression recognition. Activity recognition. Video description. Video indexing and retrieval.
Keywords
Autonomous System perception
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures80
Reading Assigment15
Project20
Written assigments15
Exams20
Total150
Student Assessment
Description
Optional/obligatory projects and final exams.
Student Assessment methods
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • ΝΑΙ
Bibliography
Course Bibliography (Eudoxus)
1. Πήτας Ι. «Ψηφιακή Επεξεργασία Εικόνας», Θεσσαλονίκη, 2010. 2. Πήτας Ι. «Ψηφιακή Επεξεργασία Βίντεο-Ψηφιακή Τηλεόραση», Θεσσαλονίκη, 2010.
Additional bibliography for study
1.R. Siegwart, Introduction To Autonomous Mobile Robots, MIT Press, 2011. 2. R. Szelinski, Computer Vision, Springer 2011. 3. Yao Wang, Jorn Ostermann, and Ya-Qin Zhang, "Video Processing and Communications", Prentice Hall, 2001.
Last Update
18-01-2021