Short course on Deep Learning and Computer Vision for Autonomous Systems

Applications focus  on Autonomous/self-driving cars


This two-day short course provides an overview and in-depth presentation of the various computer vision and deep learning problems encountered in Autonomous Systems with applications focusing on autonomous/self-driving cars. It consists of two parts (A, B), each of them includes 8 one-hour lectures.

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 surface modeling.

The same machine learning and computer vision problems do occur in any other autonomous systems applications as well, whether done by autonomous cars, drones or marine vessels, e.g., for land/marine surveillance, search&rescue, infrastructure/building inspection and modeling, cinematography.

The course content and exact lecture topics may vary from the above ones depending on recent advances and interests of the audience. If practical programming skills are desired on the above-mentioned topics, the audience may also want to join the short course and workshop on Deep Learning and Computer Vision Programming for Drone Imaging, 28-30/08/2019, Aristotle University of Thessaloniki, that is back to back to this course.


The course will take place on 26-27 August 2019.


The course will take place at KEDEA, 3is Septemvriou – Panepistimioupoli, 54636, Thessaloniki, Greece.


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