7 citations · 7 across the 3 of their papers we have counts for
5 papers
Enhancing exploration algorithms for navigation with visual SLAM
Kirill Muravyev, Andrey Bokovoy, Konstantin Yakovlev
Exploration is an important step in autonomous navigation of robotic systems. In this paper we introduce a series of enhancements for exploration algorithms in order to use them wi…
MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment
Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev
Running numerous experiments in simulation is a necessary step before deploying a control system on a real robot. In this paper we introduce a novel benchmark that is aimed at quan…
Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation
Andrey Bokovoy, Kirill Muraviev, Konstantin Yakovlev
Simultaneous localization and mapping, especially the one relying solely on video data (vSLAM), is a challenging problem that has been extensively studied in robotics and computer…
Real-time Vision-based Depth Reconstruction with NVidia Jetson
Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev
Vision-based depth reconstruction is a challenging problem extensively studied in computer vision but still lacking universal solution. Reconstructing depth from single image is pa…
Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation
Andrey Bokovoy, Konstantin Yakovlev
The monocular vision-based simultaneous localization and mapping (vSLAM) is one of the most challenging problem in mobile robotics and computer vision. In this work we study the po…