Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kurenkov, Mikhail"'
Autor:
Nenashev, Artem, Kurenkov, Mikhail, Potapov, Andrei, Zhura, Iana, Katerishich, Maksim, Tsetserukou, Dzmitry
Visual localization is a critical task in mobile robotics, and researchers are continuously developing new approaches to enhance its efficiency. In this article, we propose a novel approach to improve the accuracy of visual localization using Structu
Externí odkaz:
http://arxiv.org/abs/2310.05134
Motion planning in dynamically changing environments is one of the most complex challenges in autonomous driving. Safety is a crucial requirement, along with driving comfort and speed limits. While classical sampling-based, lattice-based, and optimiz
Externí odkaz:
http://arxiv.org/abs/2308.03539
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
In this paper, we propose a novel approach to wheeled robot navigation through an environment with movable obstacles. A robot exploits knowledge about different obstacle classes and selects the minimally invasive action to perform to clear the path.
Externí odkaz:
http://arxiv.org/abs/2305.04851
Visual localization is an essential modern technology for robotics and computer vision. Popular approaches for solving this task are image-based methods. Nowadays, these methods have low accuracy and a long training time. The reasons are the lack of
Externí odkaz:
http://arxiv.org/abs/2211.08480
Autor:
Kruzhkov, Evgenii, Savinykh, Alena, Karpyshev, Pavel, Kurenkov, Mikhail, Yudin, Evgeny, Potapov, Andrei, Tsetserukou, Dzmitry
Existing Simultaneous Localization and Mapping (SLAM) approaches are limited in their scalability due to growing map size in long-term robot operation. Moreover, processing such maps for localization and planning tasks leads to the increased computat
Externí odkaz:
http://arxiv.org/abs/2209.09357
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
Autor:
Perminov, Stepan, Mikhailovskiy, Nikita, Sedunin, Alexander, Okunevich, Iaroslav, Kalinov, Ivan, Kurenkov, Mikhail, Tsetserukou, Dzmitry
The paper focuses on the development of the autonomous robot UltraBot to reduce COVID-19 transmission and other harmful bacteria and viruses. The motivation behind the research is to develop such a robot that is capable of performing disinfection tas
Externí odkaz:
http://arxiv.org/abs/2108.09772