2020 Summer School on Autonomous Systems

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 registrants’ 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