Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kruzhkov, Evgeny"'
Autor:
Potapov, Andrei, Kurenkov, Mikhail, Karpyshev, Pavel, Yudin, Evgeny, Savinykh, Alena, Kruzhkov, Evgeny, Tsetserukou, Dzmitry
Visual localization is a fundamental task for a wide range of applications in the field of robotics. Yet, it is still a complex problem with no universal solution, and the existing approaches are difficult to scale: most state-of-the-art solutions ar
Externí odkaz:
http://arxiv.org/abs/2305.04856
Autor:
Karpyshev, Pavel, Kruzhkov, Evgeny, Yudin, Evgeny, Savinykh, Alena, Potapov, Andrei, Kurenkov, Mikhail, Kolomeytsev, Anton, Kalinov, Ivan, Tsetserukou, Dzmitry
In the proposed study, we describe an approach to improving the computational efficiency and robustness of visual SLAM algorithms on mobile robots with multiple cameras and limited computational power by implementing an intermediate layer between the
Externí odkaz:
http://arxiv.org/abs/2209.01936
Autor:
Yudin, Evgeny, Karpyshev, Pavel, Kurenkov, Mikhail, Savinykh, Alena, Potapov, Andrei, Kruzhkov, Evgeny, Tsetserukou, Dzmitry
In this study, we propose a novel visual localization approach to accurately estimate six degrees of freedom (6-DoF) poses of the robot within the 3D LiDAR map based on visual data from an RGB camera. The 3D map is obtained utilizing an advanced LiDA
Externí odkaz:
http://arxiv.org/abs/2209.01605
Autor:
Savinykh, Alena, Kurenkov, Mikhail, Kruzhkov, Evgeny, Yudin, Evgeny, Potapov, Andrei, Karpyshev, Pavel, Tsetserukou, Dzmitry
Existing visual SLAM approaches are sensitive to illumination, with their precision drastically falling in dark conditions due to feature extractor limitations. The algorithms currently used to overcome this issue are not able to provide reliable res
Externí odkaz:
http://arxiv.org/abs/2206.02199
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.