Summer School on Autonomous Systems Call for Participation

Dear Autonomous Systems (cars, drones) engineers, scientists, and enthusiasts,


you are welcomed to register to the 2020 Summer School on Autonomous
Systems having focus on autonomous drones, cars and marine vessels:

http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2020/

It will take place on 17-21/8/2020 as an e-school hosted by the
Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. As
Greece had an excellent record
on combatting COVID-19 (no case in AUTH), we shall also consider the
case of a physical school at AUTH (in parallel to the e-school, same
registration),
if regulations permit it.  See details in the summer school course www
pages, as provisions slightly vary from course to course.


The summer school consists of two short courses:

a) Short course on Deep Learning and Computer Vision for Autonomous Systems 2020, 17-18th August 2020:

http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/

b) Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems, 19-21th August 2020:

http://icarus.csd.auth.gr/autonomous-systems-2020/

 

You can follow the above-mentioned links for registration on either or both courses.

For questions, please contact: Ioanna Koroni 

 

The first course contains 16 lectures providing an in-depth
presentation of computer vision and deep learning problems algorithms
with applications on autonomous drones, cars and marine vessels.

The second programming short course and workshop offers a mix of
lectures and programming workshops (hands-on lab exercises) and aims
at developing registrantsí programming skills for Deep Learning and
Computer Vision, with focus on drone planning/control and imaging.

 

Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP
fellow, He is AUTH prime investigation for H2020 project AerialCore,
Coordinator of the European Horizon2020 R&D project Multidrone,
Director of the Artificial Intelligence and Information analysis Lab
(AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of
the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top
Computer Science and Electronics Scientist internationally by
Guide2research (2018).

 

Thessaloniki is a very pleasant city at the end of August, very close
to world-class resorts in Chalkidiki peninsula. Aristotle University
of Thessaloniki is the biggest University in Greece and in SE
Europe. It is highly ranked internationally and its campus is at the
city center.

 

Relevant links:

1.                  European Horizon2020 R&D projects 
Aerial-Core: https://aerial-core.eu/, 
Multidrone: https://multidrone.eu/, 
AI4Media: https://ai4media.eu/

2.                  AIIA Lab: http://www.aiia.csd.auth.gr/

3.                  Prof. I. Pitas:  https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

 

Course descriptions

 

a) Short course on Deep Learning and Computer Vision for Autonomous Systems 2020,  17-18th August 2020.

 

http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/

 

Part A (8 hours), Computer vision topic list

    Introduction to autonomous systems imaging
    Introduction in computer vision
    Image acquisition, camera geometry
    Stereo and Multiview imaging
    Introduction to neural networks. Perceptron, backpropagation
    Deep neural networks. Convolutional NNs
    Introduction to multiple drone imaging
    Drone mission planning and control

 

 

Part B (8 hours) Deep learning topic list

    Localization and mapping
    Deep learning for object/target detection
    Object tracking and 3D target localization
    Parallel GPU and multicore CPU programming. GPU programming
    Fast convolution algorithms
    Drone cinematography
    Introduction to car vision
    Introduction to autonomous marine vehicles

 

 

b)  Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems, 19-21th August 2020.

 

http://icarus.csd.auth.gr/autonomous-systems-2020/

 

Part A (8 hours), Deep learning sample topic list

    Deep neural networks. Convolutional NNs
    Deep learning for target detection
    PyTorch basics
    Target detection with PyTorch
    Object oriented Tensorflow in Google Colab

 

Part B (8 hours), Computer vision sample topic list

    2D target tracking
    Parallel GPU and multi-core CPU architectures . GPU programming
    CUDA programming
    OpenCV programming for object tracking
    Drone mission simulations

 

 

Part C (8 hours), Drone planning/control sample topic list

    Drone mission planning and control
    Drones with ROS and Gazebo simulations

Sincerely yours

Prof. I. Pitas