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pro vyhledávání: '"Jona Ruof"'
Automated driving in urban scenarios requires efficient planning algorithms able to handle complex situations in real-time. A popular approach is to use graph-based planning methods in order to obtain a rough trajectory which is subsequently optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05432c895b647c8124e6734de24fa72f
http://arxiv.org/abs/2102.07812
http://arxiv.org/abs/2102.07812
The Institute of Measurement, Control and Microtechnology at Ulm University investigates advanced driver assistance systems for decades and concentrates in large parts on autonomous driving. It is well known that motion planning is a key technology f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de442cc8ca43f0dfbedbdab328dee89b
Autor:
Jona Ruof, Manfred Reichert, Rüdiger Pryss, Thomas Witte, Burkhard Hoppenstedt, Klaus Kammerer, Matthias Tichy
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030259983
AVR (2)
AVR (2)
Debugging and monitoring robotic applications is a very intricate and error-prone task. To this end, we propose a mixed-reality approach to facilitate this process along a concrete scenario. We connected the Microsoft HoloLens smart glass to the Robo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53e7e8896eedfb3ed91a42534c4bde78
https://doi.org/10.1007/978-3-030-25999-0_4
https://doi.org/10.1007/978-3-030-25999-0_4