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</o:shapelayout></xml><![endif]--></head><body lang=EL link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><p class=MsoPlainText><span lang=EN-US>Dear </span><span lang=EN-US style='color:windowtext'>Drone </span><span lang=EN-US>engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>you are welcomed to register in th</span><span lang=EN-US style='color:windowtext'>is </span><span lang=EN-US> </span><b><span lang=EN-US style='color:windowtext'>Fall Short e-course on Drone (UAV) Vision and Deep Learning with </span></b><b><span lang=EN-US>focus on drone vision/perception, imaging, surveillance, infrastructure inspection, media production and cinematography.</span></b><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>It will take place on </span><span lang=EN-US style='color:windowtext'> 18-19th November 2020</span><span lang=EN-US> as an e-course (due to COVID-19 </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>circumstances), </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>hosted by the Aristotle University of Thessaloniki (AUTH),</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Thessaloniki, Greece, </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>providing a series of live lectures delivered through</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>a tele-education platform. They will be </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>complemented with on line video</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>recorded lectures and lecture pdfs, to facilitate </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>international participants</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>having time difference issues and to enable </span><span lang=EN-US style='color:windowtext'>you </span><span lang=EN-US>to study at own pace.</span><span lang=EN-US style='color:windowtext'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>You can also self-assess your CVML knowledge before/after the course by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your CVML programming skills. <o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>The short e-course consists of 16 1-hour lectures organized in two parts</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>(one per day):</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify'><span lang=EN-US style='color:black'>Part A lectures (8 hours) provide an in-depth presentation to drone systems, mission planning/control and imaging. First, an introduction to multiple drone systems is presented. Then, drone mission planning and control is overviewed, to be complemented by a lecture on drone mission simulations. After reviewing image acquisition, camera geometry (mapping the 3D world on a 2D image plane) and camera calibration, stereo and multi-view imaging systems are presented for recovering 3D world geometry from 2D images. This is complemented by Structure from Motion (SfM) towards Simultaneous Localization and Mapping (SLAM) for vehicle and/or target localization and visual object tracking and 3D localization. Finally, drone communications are overviewed, focusing on drone2ground multiple drone LTE communications, notably on multiple source video compression and streaming.</span><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span lang=EN-US style='color:black'>Part B lectures (8 hours) provide first an in-depth presentation of drone computational cinematography that are useful in many applications, besides media production. Then, an introduction to neural networks, provides rigorous formulation of the optimization problems for their training, starting with Perceptron. It continues with Multilayer perceptron training through Backpropagation, presenting many related problems, such as over-/under-fitting and generalization. Deep neural networks, notably Convolutional NNs are the core of this domain nowadays and they are overviewed in great detail. Their application on deep learning for object detection is well presented, as it is a very important issue as well, complemented with a presentation of deep semantic image segmentation. As embedded computing is such an important issue, CVML software development tools and their use in drone imaging is overviewed. This part is concluded with an extremely important drone imaging application, notably, UAV infrastructure inspection. </span><span lang=EN-US><o:p></o:p></span></p><p class=MsoPlainText><b><span lang=EN-US>You can use the following link for course registration:<o:p></o:p></span></b></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/cvml-for-autonomous-systems/">http://icarus.csd.auth.gr/cvml-for-autonomous-systems/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Lecture topics, sample lecture ppts and videos</span><span lang=EN-US style='color:windowtext'>, self-assessment questionnaires and programming exercises</span><span lang=EN-US> can be found therein.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>For questions, please contact: Ioanna Koroni <<a href="mailto:koroniioanna@csd.auth.gr">koroniioanna@csd.auth.gr</a>><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow,</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Chair of the IEEE SPS Autonomous Systems Initiative, Director of the</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>University of Thessaloniki, Greece, Coordinator of the European Horizon2020</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>R&D project Multidrone. He is ranked 249-top Computer Science and</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Electronics scientist internationally by Guide2research (2018). He is head</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US>of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 31600+ citations to his work <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US>and h-index 85+.</span><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>AUTH is ranked 153/182 internationally in Computer Science/Engineering,</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>respectively, in USNews ranking.</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Relevant links:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>1) Prof. I. Pitas:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>2) Horizon2020 EU funded R&D project Aerial-Core: <a href="https://aerial-core.eu/">https://aerial-core.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>3) Horizon2020 EU funded R&D project Multidrone: <a href="https://multidrone.eu/">https://multidrone.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>4) Horizon2020 EU funded R&D project AI4Media: <a href="https://ai4media.eu/">https://ai4media.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>5) AIIA Lab: <a href="https://aiia.csd.auth.gr/">https://aiia.csd.auth.gr/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><h1><span lang=EN-US style='font-size:11.0pt'>Course description ‘Deep Learning and Computer Vision for Autonomous Systems: Focus on drone vision, imaging, surveillance and cinematography’<o:p></o:p></span></h1><p><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:black'>Part A (8 hours) </span></strong><span lang=EN-US style='color:black'> <o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Introduction to multiple drone systems <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Drone mission planning and control <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Image acquisition, camera geometry <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Stereo and Multiview imaging <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Localization and mapping <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Object tracking and 3D localization <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Drone communications <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3'><span lang=EN-US>Drone mission simulations<o:p></o:p></span></li></ol><p><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:black'>Part B (8 hours)</span></strong><span lang=EN-US style='color:black'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Drone cinematography <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Introduction to neural networks, Perceptron <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Multilayer perceptron. Backpropagation <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Deep neural networks. Convolutional NNs </span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Deep learning for object/target detection <o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>Deep Semantic Image Segmentation<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US>CVML software development tools <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6'><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/cvml-for-autonomous-systems/#part_b8"><span class=normaltextrun><span style='color:black;text-decoration:none'>UAV infrastructure inspection</span></span></a></span><span lang=EN-US><o:p></o:p></span></li></ol><p class=MsoPlainText><span lang=EN-US>Sincerely yours</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Prof. I. Pitas<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Director of the Artificial Intelligence and Information analysis Lab (AIIA</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Lab)</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Post scriptum: To stay current on CVMl matters, you may want to register to<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>the CVML email list, following instructions in<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><div id=DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div></div></body></html>