Short description

The course provides an overview of the various computer vision and deep learning problems encountered in drone imaging and infrastructure inspection, which is one of the main application areas of drone technologies. The same machine learning and computer vision problems do occur in other drone applications as well, e.g., for land/marine surveillance, search&rescue, cinematography, machine inspection. (The presentations will be in the English language)

WHEN?

The course will take place on 21-22 February 2020.

WHERE?

Auditorium I, Aristotle University Research Dissemination Center (KEDEA), Thessaloniki, Greece

PROGRAMME

Hour 21/02/2020 22/02/2020
9:00

Overview
(Prof. Ioannis Pitas, Aristotle University of Thessaloniki)

 
9:00-10:00

Introduction to drones
(Lecturer: Iason Karakostas, Aristotle University of Thessaloniki)

Simultateous Localization and Mapping (Lecturer: Dr. Ioannis Mademlis, Aristotle University of Thessaloniki)

10:00-11:00 Fixed-wing UAV aerodynamics and design
(Lecturer: Dr. Pericles Panagiotou, Aristotle University of Thessaloniki)

Cultural Heritage Inspection. Drone Mission Simulations
(Lecturer: Charalampos Symeonidis, Aristotle University of Thessaloniki)

11:00-11:30 Drone Demonstration / Coffee break Coffee break
11:30-12:30 Introduction to H2020 Aerial Core R&D project (Lecturer: Dr. Vasileios Mygdalis, Aristotle University of Thessaloniki)

Object Pose estimation

(Lecturer: Christos Papaioannidis, Aristotle University of Thessaloniki)

12:30-13:30 Introduction to H2020 Multidrone R&D project
(Lecturer: Dr. Ioannis Mademlis, Aristotle University of Thessaloniki)
Imaging for Drone Safety
(Lecturer: Efstratios Kakaletsis, Aristotle University of Thessaloniki)
13:30-14:00 Lunch break / Icarus meeting Lunch break
14:00-15:00 Multiple drone system architecture and communications
(Lecturer: Paraskevi Nousi, Aristotle University of Thessaloniki)
Privacy protection, Ethics, Safety and regulatory issues, De-identification
(Lecturer: Dr. Vasileios Mygdalis, Aristotle University of Thessaloniki)
15:00-16:00

High Capacity Fiber Wireless millimeter wave fronthaul links with flexible beamsteering to meet the 5G KPI network requirements. (Lecturer: Dr. Christos Vagionas, Aristotle University of Thessaloniki)

Parallel GPU Programming-Cuda
(Lecturer: Paraskevi Bassia, Aristotle University of Thessaloniki)
16:00-16:30 Coffee break Coffee break
16:30-17:30 Deep neural networks – CNNs (Lecturer: Sotirios Papadopoulos, Aristotle University of Thessaloniki) Deep Reinforcement Learning (Lecturer: Pavlos Tosidis, Aristotle University of Thessaloniki)
17:30-18:30 Object Detection (Lecturer: Paraskevi Nousi, Aristotle University of Thessaloniki) Autonomous Car Vision (Lecturer: Sotirios Papadopoulos, Aristotle University of Thessaloniki)
18:30-19:30 Object Tracking
(Lecturer: Iason Karakostas, Aristotle University of Thessaloniki)
Highway Infrastructure Inspection (Lecturer: Dr. Ioannis Mademlis, Aristotle University of Thessaloniki)

 

Lecture abstracts can be found here.

The knowledge that can be acquired during this course has uses in various applications, e.g.:
1) electrical installation inspection
2) highway infrastructure inspection
3) media production

 

SPEAKERS

All speakers possess multiple years of experience on the field 

Dr. Ioannis Mademlis (Postdoctoral Research Associate)

 

Dr. Vasileios Mygdalis (Postdoctoral Research Associate)

Dr. Pericles Panayiotou (Postdoctoral Research Associate)

Dr. Christos Vagionas (senior researcher at WinPhos)

 

Paraskevi Nousi (PhD Candidate)

Christos Papaioannidis (PhD Candidate)

Sotirios Papadopoulos (PhD Candidate)

Efstratios Kakaletsis (PhD Candidate)

Iason Karakostas (PhD Candidate)

Charalampos Symeonidis (PhD Candidate)

Paraskevi Bassia (MSc Student)

Pavlos Tosidis (MSc Student)

 

Notes:     

  • The presentations will be in the English language
  • Above hours are in the Eastern European Summer Time (EEST)

* The GDPR is a new legal framework from the EU that takes effect on May 25, 2018. It’s an updated version of the Data Protection Directive. This law is designed to accomplish two main things: a. Unify the current data protection privacy laws throughout the EU, and b. Enhance the rights of citizens of the EU to protect their personal information. The main focus of the General Data Protection Regulation (GDPR) is the protection of personal data and digital privacy.  The GDPR applies to any business that does one or both of the following: a. Offers products or services to citizens of the EU b. Collects personal information from citizens of the EU. While the Data Protection Directive only applied to data controllers, the GDPR now applies to data processors as well.

 

REGISTRATION (till 21/02/2020 00:00)

Advance registration (till 21/02/2020):
  a) standard registration: 50 Euros
  b) reduced registration: 30 Euros for students
  c) Free of charge for AUTH students
On-site registration (on 21/02/2020):
  a) standard registration: 60 Euros
  b) reduced registration: 40 Euros for students
  c) Free of charge for AUTH students
ATTENTION:  Free entrance seats are sold out

Click here to register.

Participants with paid registration will have higher priority over those with free registration.

A certificate of attendance will be provided. To obtain a certificate, attendees must be present in at least 75% of the lectures.

For Registration and questions regarding the event, please contact: koroniioanna@csd.auth.gr

 
 
 

ORGANISERS

Useful links

H2020 R&D project Aerial-Core: https://aerial-core.eu/

H2020 R&D project Multidrone: https://multidrone.eu/
IEEE RAS TC Aerial Robotics and Unmanned Aerial Vehicles: http://ieee-ras.org/aerial-robotics-and-unmanned-aerial-vehicles ,https://ieee-aerialrobotics-uavs.org/
Department of Computer Science, Aristotle University of Thessaloniki (AUTH): http://www.csd.auth.gr/en/
School venue: KEDEA building http://kedea.rc.auth.gr/contact.html
Thessaloniki: https://wikitravel.org/en/Thessaloniki