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pro vyhledávání: '"Kaymaz, Mehmetcan"'
Autor:
Kaymaz, Mehmetcan, Ure, Nazim Kemal
Time-optimal obstacle avoidance is a prevalent problem encountered in various fields, including robotics and autonomous vehicles, where the task involves determining a path for a moving vehicle to reach its goal while navigating around obstacles with
Externí odkaz:
http://arxiv.org/abs/2403.13474
Autor:
Kaymaz, Mehmetcan, Ure, Nazim Kemal
Collision avoidance in the presence of dynamic obstacles in unknown environments is one of the most critical challenges for unmanned systems. In this paper, we present a method that identifies obstacles in terms of ellipsoids to estimate linear and a
Externí odkaz:
http://arxiv.org/abs/2209.14233
Autor:
Akgun, Onur, Atik, Kamil Canberk, Erdem, Mustafa, Kaymaz, Mehmetcan, Yamak, Bugrahan, Ure, N. Kemal
We investigate how to utilize predictive models for selecting appropriate motion planning strategies based on perception uncertainty estimation for agile unmanned aerial vehicle (UAV) navigation tasks. Although there are variety of motion planning an
Externí odkaz:
http://arxiv.org/abs/2012.06410
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