16 Jul 2019

Last call for early bird registration for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece

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

you are welcomed to register in the short course on Autonomous Systems having focus on autonomous/self-driving cars. It will take place on 26-27/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece.

Early registration cutoff date is the 19th July 2019.

The short course consists of 16 1-hour lectures organized in two parts (one per day):

Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Motion estimation, Mapping and Localization.) They also provide an overview of the State-of-the-Art on autonomous car vision and real-time road infrastructure monitoring.

Part B lectures provide an in-depth view of machine learning related topics (Introduction to neural networks, Multilayer NNs/backpropagation, Deep neural networks, Convolution NNs, Deep learning for target detection). They will also cover Deep NN computation optimization schemes based on parallel architectures, GPU programming, and fast convolution algorithms. Furthermore, deep learning for 2D target (e.g., car, pedestrian) detection, tracking and 3D target localization will be detailed. Finally, additional topics related to autonomous car technologies, mainly focusing on car vision will be presented, involving road scene understanding and 3D road modeling.

You can use the following link for course registration:

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

For questions, please contact: Ioanna Koroni <This email address is being protected from spambots. You need JavaScript enabled to view it.>

 

The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018).

Dr. R. Fan, Hong Kong University of Science and Technology (HKUST) will overview work on self-driving cars, while also presenting progress in the HKUST autonomous vehicle project.

AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking.

Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, 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:

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

H2020 project Multidrone: https://multidrone.eu/

3) AIIA Lab www.aiia.csd.auth.gr

 

Course description

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

 

Sincerely yours

Prof. I. Pitas