Eliminating Blind Spots for Assisted Driving

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 mounte...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2008-12, Vol.9 (4), p.657-665
Main Authors: Ehlgen, T., Pajdla, T., Ammon, D.
Format: Article
Language:English
Subjects:
Accidents
Applied sciences
Artificial intelligence
Automotive vision
Cameras
catadioptric cameras
Computer science
control theory
systems
Exact sciences and technology
Intelligent transportation systems
Joining processes
Law
Legal factors
Mirrors
omnidirectional vision
panoramic vision
Pattern recognition. Digital image processing. Computational geometry
Shape
single-track model
Vehicle driving
Vehicle safety
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Summary: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.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2008.2006815