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 <koroniioa...@csd.auth.gr <mailto:koroniioa...@csd.auth.gr> > 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 <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &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 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks. Perceptron, backpropagation 6. Deep neural networks. Convolutional NNs 7. Introduction to multiple drone imaging 8. Drone mission planning and control Part B (8 hours) Deep learning topic list 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D target localization 4. Parallel GPU and multicore CPU programming. GPU programming 5. Fast convolution algorithms 6. Drone cinematography 7. Introduction to car vision 8. 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 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 sample topic list 1. 2D target tracking 2. Parallel GPU and multi-core CPU architectures . GPU programming 3. CUDA programming 4. OpenCV programming for object tracking 5. Drone mission simulations Part C (8 hours), Drone planning/control sample topic list 1. Drone mission planning and control 2. Drones with ROS and Gazebo simulations Sincerely yours Prof. I. Pitas
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