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Autonomous Systems Perception
Lecturer
I. Pitas,
Content and organization
Autonomous systems. Visual and other sensors. Image/video basics, formats and digitization. Video processing. Video streaming and compression. Motion estimation. Deep learning for image and video analysis.
Object tracking. Object detection. Object pose estimation. SLAM. Face/person detection. Facial expression recognition. Activity recognition.
Video description. Video indexing and retrieval.
Course attendance will be asynchronous in English, using the educational material found in CVML Web Lectures modules:
Autonomous Systems
Video Processing and Analysis
Human Centered Computing
Autonomous Cars
Autonomous Drones
Autonomous Marine Vessels
Compulsory bibliographical and/or programming assignments are foreseen to be carried out during the course.
In order to pass the course, you will be requested to:
1) study the course lecture pdfs (in English) and fill the respective understanding questionnaires:
2) do an obligatory bibliographical project (in ppt and tex)
3) do an obligatory programming project
4) participate in the final written course exams (remotely).
Level
Postgraduate course
Course Type
Semester Course
ECTS
ECTS
Marking Scheme
Scheme
Participation terms
Asynchronous on-line participation. Enrollment cut of date 25/02/2022.
Schedule
Spring semester. Duration 13 weeks. Typical start date: second half of February each year.
Language
English
Notes
Maximum number of AIDA students: 5
