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
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DOI - Digital Object Identifier
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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
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Result continuities
Project
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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
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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
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UT code for WoS article
000261544500010
EID of the result in the Scopus database
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