Connectionists: Invitation to join the 2019 Summer School on Autonomous Systems (focus on cars, drones), 26-30th August 2019, AUTH, Greece

[ioannakoroni at csd.auth.gr]

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

 

you are welcomed to register to the 2019 Summer School on Autonomous Systems
having focus on autonomous/self-driving cars and drones:

 <http://icarus.csd.auth.gr/summer-school-2019/>
http://icarus.csd.auth.gr/summer-school-2019/

 

It will take place on 26-30/8/2019 at the Aristotle University of
Thessaloniki (AUTH), Thessaloniki, Greece.

It consists of two short courses:

a) 'Short course on Deep Learning and Computer Vision for Autonomous
Systems. Application focus on autonomous/self-driving cars', 26-27th August
2019:

 <http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/>
http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/

b) 'Programming short course and workshop on Deep Learning and  Computer
Vision for Drone Imaging', 28-30th August 2019:

 <http://icarus.csd.auth.gr/drone-school-2019/>
http://icarus.csd.auth.gr/drone-school-2019/

 

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

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

 

The first course contains 16 lectures proving an in-depth presentation of
computer vision and deep learning problems algorithms with applications on
autonomous/self-driving car vision. 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, Coordination of the European Horizon2020 R&D project Multidrone,
Director of the Artificial Intelligence and Information analysis Lab (AIIA
Lab), Aristotle University of Thessaloniki, Greece, 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.               H2020 project Multidrone: https://multidrone.eu/

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

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

 

Course descriptions

 

a) 'Short course on Deep Learning and Computer Vision  for Autonomous
Systems. Application focus on autonomous/self-driving cars',  26-27th August
2019.

http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/

 

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.           Motion estimation

6.           Mapping and localization

7.            Introduction to autonomous car vision

8.            Real-time road infrastructure monitoring

 

Part B (8 hours) Deep learning topic list

1.            Introduction to neural networks. Perceptron, backpropagation

2.            Deep neural networks. Convolutional NNs

3.            Parallel GPU and multicore CPU architectures. GPU programming

4.            Fast convolution algorithms

5.            Deep learning for target detection

6.            2D Target tracking and 3D target localization

7.            Road scene understanding

8.            3D road surface modelling

 

b)  'Programming short course and workshop on Deep   Learning and Computer

Vision for Drone Imaging'28-30th August 2019.
http://icarus.csd.auth.gr/drone-school-2019/

 

Part A (8 hours), Deep learning 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 topic list

1.               2D target tracking and 3D target localization

2.               Parallel GPU and multicore CPU architectures. GPU
programming

3.               CUDA programming

4.               OpenCV programming for object tracking

5.               Drone mission simulations

 

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

1.               Drone mission planning and control

2.               Gimbal control for target tracking

3.               Drones with ROS and Gazebo simulations

4.               Brain-Drone Interaction

 

Sincerely yours

Prof. I. Pitas

PhD, Director of the Artificial Intelligence and Information Analysis Lab,
AUTH, Greece

IEEE fellow and Distinguished Lecturer

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20190607/2b1c6ea1/attachment.html>