8 citations · 24 across the 13 of their papers we have counts for
4 papers · 1 filter
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…