[visionlist] CORRECTED VERSION: Invitation for the 2020 Summer e-School on Autonomous Systems, 17-21th August 2020, Aristotle University of Thessaloniki, Thessaloniki, Greece

[Ioanna Koroni]

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

 

you are welcomed to register to the 2020 Summer e-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 and will be hosted by the Artificial
Intelligence and Information Analysis (AIIA) Lab, Aristotle University of
Thessaloniki (AUTH), Thessaloniki, Greece. 

 

The summer e-school consists of two short e-courses:

a) 'Short e-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 e-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
e-courses.

For questions, please contact: Ioanna Koroni <koroniioanna at csd.auth.gr
<mailto:koroniioanna at csd.auth.gr> >

 

The first e-course contains 16 live (and recorded) 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 e-course and workshop offers a mix of live (and
recorded) lectures and programming workshops (hands-on lab exercises) and
aims at developing registrants' programming skills for Deep Learning and
Computer Vision, with focus on drone planning/control and imaging.

 

Both short e-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).

 

Aristotle University of Thessaloniki is the biggest University in Greece and
in SE Europe. It is highly ranked internationally.

 

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
<https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el

 

 

Course descriptions

 

a) 'Short e-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

1.	Introduction to autonomous systems imaging
2.	Introduction in computer vision
3.	Image acquisition, camera geometry
4.	Stereo and Multiview imaging
5.	Introduction to neural networks. Perceptron, backpropagation
6.	Deep neural networks. Convolutional NNs
7.	Introduction to multiple drone imaging
8.	Drone mission planning and control

 

 

Part B (8 hours) Deep learning topic list

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

 

 

b)  'Programming short e-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

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

 

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

6.	2D target tracking
7.	Parallel GPU and multi-core CPU architectures . GPU programming
8.	CUDA programming
9.	OpenCV programming for object tracking
10.	Drone mission simulations

 

 

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

11.	Drone mission planning and control
12.	Drones with ROS and Gazebo simulations
13.	 

 

Sincerely yours

Prof. I. Pitas 

 

 

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