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Navigation of robotics platform in unknown spaces using LIDAR, Raspberry PI and Hector SLAM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F18%3A39911462" target="_blank" >RIV/00216275:25530/18:39911462 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Navigation of robotics platform in unknown spaces using LIDAR, Raspberry PI and Hector SLAM

  • Original language description

    This research is a base research of an alternative type navigation for our project ARES – Autonomous Research Exploration System. This system is focused on exploration of dangerous indoor spaces like caves, abandoned mines, ruins etc. In many cases, there is poor or no signal from satellite navigation systems and it is necessary to develop accurate navigation for our platform. Our platform is based on several systems like navigation using an inertial navigation unit, visual odometry and 3D space mapping. The result of our system will be a 3D map of space. The developed 3D space mapping needs accurate position for creation of a space map. This paper deals with development of an alternative position estimation method and implementation of LIDAR sensor and Raspberry PI for 2D space mapping.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Fundamental and Applied Sciences

  • ISSN

    1112-9867

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    3S 2018

  • Country of publishing house

    DZ - THE PEOPLE'S DEMOCRATIC REPUBLIC OF ALGERIA

  • Number of pages

    8

  • Pages from-to

    494-506

  • UT code for WoS article

  • EID of the result in the Scopus database