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Visually Assisted Anti-lock Braking System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00345498" target="_blank" >RIV/68407700:21230/20:00345498 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/IV47402.2020.9304807" target="_blank" >https://doi.org/10.1109/IV47402.2020.9304807</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IV47402.2020.9304807" target="_blank" >10.1109/IV47402.2020.9304807</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visually Assisted Anti-lock Braking System

  • Original language description

    The concept of a visually-assisted anti-lock braking system (ABS) is presented. The road conditions in front of the vehicle are assessed in real time based on camera data. The surface type classification (tarmac, gravel, ice, etc.) and related road friction properties are provided to the braking control algorithm in order to adjust the vehicle response accordingly. The system was implemented and tested in simulations as well as on an instrumented sub-scale vehicle. Simulations and experimental results quantitatively demonstrate the benefits of the proposed system in critical maneuvers, such as emergency braking and collision avoidance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 IEEE Intelligent Vehicles Symposium (IV)

  • ISBN

    978-1-7281-6673-5

  • ISSN

    1931-0587

  • e-ISSN

    2642-7214

  • Number of pages

    7

  • Pages from-to

    1219-1225

  • Publisher name

    IEEE Industrial Electronics Society

  • Place of publication

    Piscataway

  • Event location

    Las Vegas

  • Event date

    Oct 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article