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 classification of weather conditions and detection of sensor failures (ASGARD-WECL)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F23%3APR38728" target="_blank" >RIV/00216305:26620/23:PR38728 - isvavai.cz</a>

  • Result on the web

    <a href="https://architecteca2030.ceitec.cz/vysledky/" target="_blank" >https://architecteca2030.ceitec.cz/vysledky/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    System for classification of weather conditions and detection of sensor failures (ASGARD-WECL)

  • Original language description

    The ASGARD-WECLASS software system is able to determine the weather conditions in which the sensor is currently working (fog, rain, reduced visibility, etc.) and detect some sensor failures (e.g. light glare, lens freezing, dirtiness, etc.). The evaluation takes place both from the sensors separately and from a combination of several sensors of the same type (overlapping area analysis) and from a combination of sensors of different types (data fusion). The output of the system is metadata, describing how reliable the data output from the sensor is. In addition to the above, it is able to detect failures in the area of the geometry of the sensors, for example in the event of a vehicle impact. The main use of the system is in autonomous and semi-autonomous vehicles, for which robust and reliable behavior is important. Information about the degree of reliability of the data that the system receives from the sensors is essential for such robust behavior.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/8A20002" target="_blank" >8A20002: Trustable architectures with acceptable residual risk for the electric, connected and automated cars</a><br>

  • Continuities

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

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    ASGARD-WECL

  • Technical parameters

    Software je realizován jako soubor nodů na bázi ROS2, který realizuje sběr dat ze senzorů, následnou analýzu dat, detekci a klasifikaci. Výsledky detekce a klasifikace poskytuje dále ve formě ROS2 topic.

  • Economical parameters

    Software je určen pro autonomní vozidla a jeho výstup je určen pro řídicí jednotku vozidla. Komerční využití samostatného modulu se zatím nepředpokládá.

  • Owner IČO

    00216305

  • Owner name

    Vysoké učení technické v Brně