Anton Egorov

ORCID: 0000-0003-0803-1568
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About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Indoor and Outdoor Localization Technologies
  • 3D Surveying and Cultural Heritage
  • Advanced Image and Video Retrieval Techniques
  • Prosthetics and Rehabilitation Robotics
  • Heavy Metals in Plants
  • Non-Invasive Vital Sign Monitoring
  • Sensor Technology and Measurement Systems
  • Advanced Data Processing Techniques
  • Robotic Locomotion and Control
  • Saffron Plant Research Studies
  • Control and Dynamics of Mobile Robots

Skolkovo Institute of Science and Technology
2020-2021

Clemson University
2021

Innopolis University
2021

Institute of Oceanology. PP Shirshov Russian Academy of Sciences
2018

Human beings and animals are capable of recognizing places from a previous journey when viewing them under different environmental conditions (e.g., illuminations weathers). This paper seeks to provide robots with human-like place recognition ability using new point cloud feature learning method. is challenging problem due the difficulty extracting invariant local descriptors same various orientation differences dynamic obstacles. In this paper, we propose novel lightweight 3D method,...

10.1109/iros45743.2020.9341727 article EN 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020-10-24

Accurate localization on the autonomous driving cars is essential for autonomy and safety, especially complex urban streets search-and-rescue subterranean environments where high-accurate GPS not available. However current odometry estimation may introduce drifting problems in long-term navigation without robust global localization. The main challenges involve scene divergence under interference of dynamic effective perception observation object layout variance from different viewpoints. To...

10.1109/tits.2021.3102429 article EN IEEE Transactions on Intelligent Transportation Systems 2021-08-26

Recognizing the same place undervariant viewpoint differences is fundamental capability for human beings and animals. However, such a strong recognition ability in robotics still an unsolved problem. Extracting local invariant descriptors from under various difficult. This article seeks to provide robots with human-like using new 3-D feature learning method. proposes novel lightweight fast sequence matching achieve robust recognition, capable of recognizing places previous trajectory...

10.1109/tie.2021.3057025 article EN IEEE Transactions on Industrial Electronics 2021-02-10

Nowadays, there are few unmanned aerial vehicles (UAVs) that capable of landing on uneven surfaces or moving the complex ground. A drone having both these functionalities can significantly improve its performance in accomplishing difficult tasks, such as monitoring and exploring various types terrain, searching for survivors, delivering medical aid repair kits an unstructured dynamic environment, e.g., rescue operation following earthquake. This article presents a motion analysis gait...

10.1109/jmass.2020.3015525 article EN IEEE Journal on Miniaturization for Air and Space Systems 2020-08-10

ОБЗОР И ОБОСНОВАНИЕ МЕТОДОВ ОБНАРуЖЕНИЯ ИССЛЕДОВАНИЯ ГАЗОВЫХ ГИДРАТОВРимский-Корсаков Н.А

10.17513/srts.1176 article RU Научное обозрение Технические науки (Scientific Review Technical Sciences) 2018-01-01

The work implements a semantic approach to constructing formal models of systems. problem formalizing the processes representing input and output documents in form groups is solved. organization communication within groups, as well transformation into considered. In course study, properties parts were formed, which are described by statements, formally defined predicates. Rules for transition from representation specification an information model set related given.

10.34219/2078-8320-2021-12-3-49-54 article EN Informatization and communication 2021-03-01

Accurate localization on autonomous driving cars is essential for autonomy and safety, especially complex urban streets search-and-rescue subterranean environments where high-accurate GPS not available. However current odometry estimation may introduce the drifting problems in long-term navigation without robust global localization. The main challenges involve scene divergence under interference of dynamic effective perception observation object layout variance from different viewpoints. To...

10.48550/arxiv.2108.00552 preprint EN public-domain arXiv (Cornell University) 2021-01-01
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