1 citations · 2 across the 3 of their papers we have counts for
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LiePoseNet: Heterogeneous Loss Function Based on Lie Group for Significant Speed-up of PoseNet Training Process
Mikhail Kurenkov, Ivan Kalinov, Dzmitry Tsetserukou
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 ha…
MeSLAM: Memory Efficient SLAM based on Neural Fields
Evgenii Kruzhkov, Alena Savinykh, Pavel Karpyshev +4
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 ma…
MuCaSLAM: CNN-Based Frame Quality Assessment for Mobile Robot with Omnidirectional Visual SLAM
Pavel Karpyshev, Evgeny Kruzhkov, Evgeny Yudin +6
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…
UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection
Stepan Perminov, Nikita Mikhailovskiy, Alexander Sedunin +4
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…