All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

System for detection and classification of obstacles through data-fusion of lidar and RGB cameras (ASGARD-CLASS)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F22%3APR36461" target="_blank" >RIV/00216305:26620/22:PR36461 - isvavai.cz</a>

  • Result on the web

    <a href="https://ai4csm.ceitec.cz/vysledky" target="_blank" >https://ai4csm.ceitec.cz/vysledky</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    System for detection and classification of obstacles through data-fusion of lidar and RGB cameras (ASGARD-CLASS)

  • Original language description

    The ASGARD-CLASS software system is designed for obstacle detection in lidar data in a point-cloud format, followed by classification of the obstacle type into several classes. The system will find use in mobile robotics, where the data created by this program can serve as a simplified and easily searchable map of the robot's surroundings. It enables obstacle detection, floor filtering and filtering of solid parts of the environment (e.g. walls) using advanced AI-based segmentation techniques. The classification of the obstacles detected in this way is then performed on a data fusion of lidar data and data from RGB cameras, which are annotated using a neural network based on a pre-trained YOLO network, which was further trained on its own dataset from an industrial environment. The system is compatible with the ASGARD-NAV navigation, planning and mapping tool, which can use information about the obstacle class for better trajectory planning.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/8A21013" target="_blank" >8A21013: Automotive Intelligence for Connected Shared Mobility</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    ASGARD-CLASS

  • Technical parameters

    Software je realizován jako soubor nodů na bázi ROS2, který realizuje sběr dat ze senzorů pomocí vstupního rozhraní a který výsledky detekce a klasifikace poskytuje dále ve formě ROS2 topic.

  • Economical parameters

    Software je využíván pro zlepšení plánování v robotech výzkumné skupiny, komerční využití samostatného modulu se zatím nepředpokládá.

  • Owner IČO

    00216305

  • Owner name

    Vysoké učení technické v Brně