This three day short course and workshop provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems encountered in autonomous systems. Special attention will be paid to drone cinematography, which is one of the main application areas of drone technologies. The same machine learning and computer vision problems do occur in other drone applications as well, e.g., for land/marine surveillance, arch&rescue, infrastructure/building inspection and 3D modeling. The short course consists of three parts (A,B,C), each having lectures and a programming workshop with hands-on lab exercises.
The 2020 IEEE RAS Summer School on Multi-Robot Systems follows the great success of Summer Schools in Singapore, 2016 and in Prague, 2019. As in last year, the IEEE RAS Summer School on Multi-Robot Systems, 2020 will be held at the campus of Czech Technical University, located at the heart of the historical city Prague. The Summer School aims to promote the newest achievements in multi-robot system research to students, academic researchers and industrial practitioners to enable putting systems of cooperating robots into practice. The main scope of the 2020 IEEE RAS Summer School on Multi-Robot Systems will be swarm robotics, including lectures by well-recognized experts in the field, and hands-on experience with real-world experiments using state-of-the-art aerial platforms developed for Multi-Robot research.
The main goal was to demonstrate currently used methods of power line monitoring and inspection. At first, ČEPS demonstrated the power line inspection by a manned helicopter and invited Martin Saska (PI of CTU partner) onboard, which was a valuable experience for CTU partner to experience current monitoring.
Next, ČEPS presented an unmanned aerial system for remote inspection of power lines. In the second part of the workshop, CTU and ČEPS have discussed the possibilities of the real deployment of the AERIAL-CORE project outputs within the Czech Republic.
Also, ČEPS presented valuable end-user requirements to support further cooperation and indicated a strong interest to use the results of AERIAL-CORE project.
Click here to download the program and the presentations
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The main motivation is the interest in the application of aerial robotics, combined with artificial intelligence methods, for inspection and maintenance. Methods such as learning and autonomous detection will be applied to provide intelligence to aerial robots in inspection and maintenance applications. It includes the perception and high-level control of aerial robots, as well as the exploitation of data for the inspection and maintenance application. The organizers and speakers are top level members of relevant companies, including end-users (CHEVRON, TOTAL, NDESA-ENEL) and technology developers (Thales, Terabee, VES, EOBOTICS), as well as research institutions (Univ. Sevilla, Univ. Oulu, Univ. Twente, Univ. Naples, FADA-CATEC).
The Workshop will continue a very uccessful series, which have been very well attended in all previous Workshops. These Workshops have generated new joint initiatives and successful proposals of new projects and even new product.
The course provides an overview of the various computer vision and deep learning problems encountered in drone maging and infrastructure inspection, which is one of the main application areas of drone technologies. The same machine learning and computer vision problems do occur in other drone applications as well, e.g., for land/marine surveillance, search&rescue, cinematography, machine inspection. (The presentations will be in the English language).