1 citations · 2 across the 4 of their papers we have counts for
4 papers
Hierarchical Visual Localization Based on Sparse Feature Pyramid for Adaptive Reduction of Keypoint Map Size
Andrei Potapov, Mikhail Kurenkov, Pavel Karpyshev +4
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…
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…
CloudVision: DNN-based Visual Localization of Autonomous Robots using Prebuilt LiDAR Point Cloud
Evgeny Yudin, Pavel Karpyshev, Mikhail Kurenkov +4
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…
DarkSLAM: GAN-assisted Visual SLAM for Reliable Operation in Low-light Conditions
Alena Savinykh, Mikhail Kurenkov, Evgeny Kruzhkov +4
Existing visual SLAM approaches are sensitive to illumination, with their precision drastically falling in dark conditions due to feature extractor limitations. The algorithms curr…