Lecture batch (2 Lectures), Date: 25th April 2020
1. Introduction to Autonomous Systems
11:00-11:45 EEST and repeated 20:00-20:45 EEST
2. Introduction to Computer vision
11:45-12:30 EEST and repeated 20:45-21:30 EEST
LECTURE DESCRIPTION
LECTURE 1: Introduction to Autonomous Systems
Saturday 25/4/2020, 11:00-11:45 EEST and repeated 20:00-20:45 EEST
Summary: A fully autonomous system can: a) gain information about the environment, b) work for an extended period without human intervention, c) move either all or part of itself throughout its operating environment without human assistance and d) avoid situations that are harmful to people, property, or itself unless those are part of its design specifications.
Key technologies of autonomous systems are overviewed, notably: mission planning and control, perception and intelligence, embedded computing, swarm systems, communications and societal technologies. Several autonomous system applications are presented, notably a) autonomous cars, b) drones and drone swarms, c) autonomous underwater vehicles d) autonomous marine vessels and e) autonomous robots.
Sample lecture material
– sample slides DOWNLOAD
Related Literature:
1. C. Regazzoni, I.Pitas, “Perspectives in Autonomous Systems Research”, Signal Processing Magazine, vol. 36, no. 5, pp. 147-148, 2019
2. R. Siegwart et al, “Introduction To Autonomous Mobile Robots ”, MIT Press, 2011.
3. I. Mademlis, A. Torres-Gonzalez, J. Capitan, R. Cunha, B. Guerreiro, A. Messina, F. Negro, C. Le Barz, T. Goncalves, A.Tefas, N.Nikolaidis and I.Pitas, “A Multiple-UAV Software Architecture for Autonomous Media Production”, Proceedings of the 27th European Signal Processing Conference (EUSIPCO), Satellite Workshop: Signal Processing, Computer Vision and Deep Learning for Autonomous Systems, A Coruna, Spain, 2019
4. I. Mademlis, P. Nousi, C. Le Barz, T. Goncalves and I.Pitas, “Communications for Autonomous Unmanned Aerial Vehicle Fleets in Outdoor Cinematography Applications”, Proceedings of the 27th European Signal Processing Conference (EUSIPCO), Satellite Workshop: Signal Processing, Computer Vision and Deep Learning for Autonomous Systems, A Coruna, Spain, 2019
Lecture 2: Introduction to Computer vision
Saturday 25/4/2020, 11:45-12:30 EEST and repeated 20:45-21:30 EEST
Summary: A detailed introduction in computer vision will be made: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D world mapping, 3D object localization, Multiview object detection and tracking, Object pose estimation.
Sample lecture material
– sample slides DOWNLOAD
Related Literature
1. I. Pitas, “Computer vision”, Createspace/Amazon, in press.
2. R.Szelinski, “ Computer Vision ” , Springer 2011
3. Hartley R, Zisserman A. , “ Multiple view geometry in computer vision” . Cambridge university press; 2003.
4. Davies, E. Roy. “Computer vision: principles, algorithms, applications, learning ”. Academic Press, 2017
5. I. Pitas, “Digital video processing and analysis ” , China Machine Press, 2017 (in Chinese).
6. I. Pitas, “Digital Video and Television ” , Createspace/Amazon, 2013.
7. I. Pitas, Computer vision, P. Nousi, I. Mademlis, I. Karakostas, A.Tefas and I.Pitas, “Embedded UAV Real-Time Visual Object Detection and Tracking”, Proceedings of the IEEE International Conference on Real-time Computing and Robotics 2019 (RCAR2019), Irkutsk, Russia, 2019
8. I. Mademlis, V. Mygdalis, N. Nikolaidis, I. Pitas, “Challenges in Autonomous UAV Cinematography: An Overview”, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, 2018
LECTURER
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities.
His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar).
Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org.
Relevant links:
http:// https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en