Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Karpyshev, Pavel"'
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:
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:
Voynov, Oleg, Bobrovskikh, Gleb, Karpyshev, Pavel, Galochkin, Saveliy, Ardelean, Andrei-Timotei, Bozhenko, Arseniy, Karmanova, Ekaterina, Kopanev, Pavel, Labutin-Rymsho, Yaroslav, Rakhimov, Ruslan, Safin, Aleksandr, Serpiva, Valerii, Artemov, Alexey, Burnaev, Evgeny, Tsetserukou, Dzmitry, Zorin, Denis
We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and st
Externí odkaz:
http://arxiv.org/abs/2203.06111
Autor:
Protasov, Saian, Karpyshev, Pavel, Kalinov, Ivan, Kopanev, Pavel, Mikhailovskiy, Nikita, Sedunin, Alexander, Tsetserukou, Dzmitry
Mobile autonomous robots include numerous sensors for environment perception. Cameras are an essential tool for robot's localization, navigation, and obstacle avoidance. To process a large flow of data from the sensors, it is necessary to optimize al
Externí odkaz:
http://arxiv.org/abs/2110.11829
In the proposed study, we describe the possibility of automated dataset collection using an articulated robot. The proposed technology reduces the number of pixel errors on a polygonal dataset and the time spent on manual labeling of 2D objects. The
Externí odkaz:
http://arxiv.org/abs/2108.02555
Autor:
Pavlov, Artem L., Davletshin, Azat, Kharlamov, Alexey, Koriukin, Maksim S., Vasenin, Artem, Solovev, Pavel, Ostyakov, Pavel, Karpyshev, Pavel A., Ovchinnikov, George V., Oseledets, Ivan V., Tsetserukou, Dzmitry
With the advancements of various autonomous car projects aiming to achieve SAE Level 5, real-time detection of traffic signs in real-life scenarios has become a highly relevant problem for the industry. Even though a great progress has been achieved
Externí odkaz:
http://arxiv.org/abs/1909.07311
Autor:
Petrovsky, Alexander, Kalinov, Ivan, Karpyshev, Pavel, Tsetserukou, Dzmitry, Ivanov, Anton, Golkar, Alessandro
Publikováno v:
In Acta Astronautica May 2022 194:1-8
