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Eliminating Blind Spots for Assisted Driving

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150864" target="_blank" >RIV/68407700:21230/08:03150864 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Eliminating Blind Spots for Assisted Driving

  • Original language description

    Drivers of heavy goods vehicles are not able to survey the whole surrounding area of their vehicle due to large blind spot regions. This paper shows how catadioptric cameras - a combination of cameras and mirrors - can be used to survey the surrounding area of vehicles. Four such cameras were mounted on a truck-trailer combination, and the images are combined such that obstacles are visible in an image presented to the driver. This image is a bird's eye view of the vehicle. Additionally, corridors indicating the path of motion of the vehicle are overlaid to the resulting image. To compute those corridors, a mathematical description of the path of motion is derived. Such a system does not only support the driver during maneuvering tasks but also increases safety of driving large vehicles.

  • Czech name

    Eliminating Blind Spots for Assisted Driving

  • Czech description

    Drivers of heavy goods vehicles are not able to survey the whole surrounding area of their vehicle due to large blind spot regions. This paper shows how catadioptric cameras - a combination of cameras and mirrors - can be used to survey the surrounding area of vehicles. Four such cameras were mounted on a truck-trailer combination, and the images are combined such that obstacles are visible in an image presented to the driver. This image is a bird's eye view of the vehicle. Additionally, corridors indicating the path of motion of the vehicle are overlaid to the resulting image. To compute those corridors, a mathematical description of the path of motion is derived. Such a system does not only support the driver during maneuvering tasks but also increases safety of driving large vehicles.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Intelligent Transportation Systems

  • ISSN

    1524-9050

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000261544500010

  • EID of the result in the Scopus database