D. Iarosh
Saint Petersburg State University
5 Papers
D. Iarosh is an academic researcher from Saint Petersburg State University. The author has contributed to research in topics: Computer science & Mobile device. The author has an hindex of 1, co-authored 3 publications.
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Papers
EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data
Anastasiia V. Kornilova,D. Iarosh,Denis Kukushkin,Nikolai Goncharov,Pavel Mokeev,Arthur Saliou,Gonzalo Munoz Ferrer +6 more
- 12 Apr 2022
TL;DR: The EVOPS dataset as discussed by the authors provides a dataset for plane segmentation from 3D data, both from RGBD images and LiDAR point clouds, which includes a total number of 10k RGBD and 7k Li-DAR frames over different selected scenes which consist of high quality segmented planes.
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Eigen-Factors an Alternating Optimization for Back-end Plane SLAM of 3D Point Clouds
TL;DR: EF-SLAM as discussed by the authors is a plane SLAM algorithm that uses the Eigen Factors (EF) algorithm to solve the problem of SLAM by using planes as the main geometric primitive, and it exhaustively calculates the error of all points at complexity $O(1) , thanks to the {\em summation matrix} $S$ of homogeneous points.
•Posted Content
Smart mobile microscopy: towards fully-automated digitization
TL;DR: In this article, a smart mobile microscopy concept aimed at automatic digitization of the most valuable visual information about the specimen is presented, which performs this through combining automated microscope setup control and classic techniques such as auto-focusing, in-focus filtering, and focus stacking.
Smart Mobile Microscopy: Towards Fully-Automated Digitization
Anastasiia Kornilova,Iakov Kirilenko,D. Iarosh,Vladimir Kutuev,Maxim Strutovsky +4 more
- 28 Nov 2021
TL;DR: In this article, the authors present a "smart" mobile microscope concept aimed at automatic digitization of the most valuable visual information about the specimen, which performs this through combining automated microscope setup control and classic techniques such as auto-focusing, in-focus filtering, and focus stacking.
Multiagent System of Mobile Robots for Robotic Football
D. Iarosh,G. V. Reneva,Anastasiia Kornilova,P. A. Konovalov +3 more
- 01 May 2019
TL;DR: The results of the development of a cross-platform software framework, designed to create and test multi-agent control and navigation algorithms in a highly dynamic environment with a centralized control system based on the Robocup SSL competition, are presented.