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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink="#954F72"><div class=WordSection1><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Dear Autonomous Systems (cars) engineers, scientists and enthousiasts,<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>you are welcomed to register in the short course on Autonomous Systems having focus on autonomous/self-driving cars. <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>It will take place on 26-27/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece.<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>The short course consists of 16 1-hour lectures organized two parts (one per day):<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif;color:black'>Part A lectures provide an in-depth presentation to <b>autonomous systems imaging</b> 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<b> autonomous car vision and real-time road infrastructure monitoring</b>. </span><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif;color:black'>Part B lectures provide an in-depth view of <b>machine learning</b> 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 <b>car vision</b> will be presented, involving <b>road scene understanding and 3D road modeling</b>.</span><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>You can use the following link for course registration:<o:p></o:p></span></b></p><p class=MsoNormal style='text-align:justify'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><a href="http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/">http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/</a><o:p></o:p></span></b></p><p class=MsoNormal style='text-align:justify'><b><o:p> </o:p></b></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>For questions, please contact: Ioanna Koroni <<a href="mailto:ioannakoroni@csd.auth.gr">ioannakoroni@csd.auth.gr</a>><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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).<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Dr. R. Fan, <span class=tadv-format-panel><span style='color:black'>Hong Kong University of Science and Technology (HKUST) </span></span>will overview work on self-driving cars, while also presenting progress in the <span style='color:black'>HKUST autonomous vehicle project.<o:p></o:p></span></span></p><p class=MsoNormal style='text-align:justify'><o:p> </o:p></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world class resorts in Chalkidiki peninsula. <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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. <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Course participants may also want to register (if so desired) in a second back2back <b>programming</b> short course and hands-on workshop on Autonomous Systems/Drones (28-30<sup>th</sup> August 2019) that will be announced separately and will be open for registration very soon:<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><a href="http://icarus.csd.auth.gr/drone-school-2019/">http://icarus.csd.auth.gr/drone-school-2019/</a><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>offering a mix of lectures and programming workshops (hands-on lab exercises) and aiming at developing registrants’ programming skills <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><o:p> </o:p></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Relevant links:<o:p></o:p></span></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Prof. I. Pitas: </span><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el"><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</span></a><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></li><li class=MsoListParagraphCxSpLast style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>H2020 project Multidrone: </span><a href="https://multidrone.eu/"><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>https://multidrone.eu/</span></a><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></li></ol><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Course description<o:p></o:p></span></b></p><p><b><span style='font-family:"Times New Roman",serif'>Part A (8 hours), Computer vision topic list<o:p></o:p></span></b></p><p class=MsoNoSpacing>1. Introduction to autonomous systems imaging<o:p></o:p></p><p class=MsoNoSpacing>2. Introduction in computer vision<o:p></o:p></p><p class=MsoNoSpacing>3. Image acquisition, camera geometry<o:p></o:p></p><p class=MsoNoSpacing>4. Stereo and Multiview imaging<o:p></o:p></p><p class=MsoNoSpacing>5. Motion estimation<o:p></o:p></p><p class=MsoNoSpacing>6. Mapping and localization<o:p></o:p></p><p class=MsoNoSpacing>7. Introduction to autonomous car vision<o:p></o:p></p><p class=MsoNoSpacing>8. Real-time road infrastructure monitoring <o:p></o:p></p><p><b><span style='font-family:"Times New Roman",serif'>Part B (8 hours) Deep learning topic list<o:p></o:p></span></b></p><p class=MsoNoSpacing>1. Introduction to neural networks. Perceptron, backpropagation<o:p></o:p></p><p class=MsoNoSpacing>2. Deep neural networks. Convolutional NNs<o:p></o:p></p><p class=MsoNoSpacing>3. Parallel GPU and multicore CPU architectures. GPU programming<o:p></o:p></p><p class=MsoNoSpacing>4. Fast convolution algorithms<o:p></o:p></p><p class=MsoNoSpacing>5. Deep learning for target detection<o:p></o:p></p><p class=MsoNoSpacing>6. 2D Target tracking and 3D target localization<o:p></o:p></p><p class=MsoNoSpacing>7. Road scene understanding<o:p></o:p></p><p class=MsoNoSpacing>8. 3D road surface modelling<o:p></o:p></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing>Sincerely yours<o:p></o:p></p><p class=MsoNoSpacing>Prof. I. Pitas<o:p></o:p></p><p class=MsoNormal style='text-align:justify'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Short course organizer<o:p></o:p></span></p><div id=DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2><p class=MsoNormal><o:p> </o:p></p><table class=MsoNormalTable border=1 cellpadding=0 style='border:none;border-top:solid #D3D4DE 1.0pt'><tr><td width=55 style='width:41.25pt;border:none;padding:9.75pt .75pt .75pt .75pt'><p class=MsoNormal><a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient&utm_term=icon" target="_blank"><span style='text-decoration:none'><img border=0 width=46 height=29 style='width:.4791in;height:.302in' id="_x0000_i1025" src="https://ipmcdn.avast.com/images/icons/icon-envelope-tick-round-orange-animated-no-repeat-v1.gif"></span></a><o:p></o:p></p></td><td width=470 style='width:352.5pt;border:none;padding:9.0pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:13.5pt'><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:#41424E'>Virus-free. <a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient&utm_term=link" target="_blank"><span style='color:#4453EA'>www.avast.com</span></a> <o:p></o:p></span></p></td></tr></table><p class=MsoNormal><o:p> </o:p></p></div></div></body></html>