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Vision-based wet road surface detection using mirrored and real images

A road surface, practical technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as reducing friction coefficient and vehicle stability

Inactive Publication Date: 2016-01-20
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, water on the road reduces the coefficient of friction between the vehicle's tires and the surface of the road, causing vehicle stability problems

Method used

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  • Vision-based wet road surface detection using mirrored and real images
  • Vision-based wet road surface detection using mirrored and real images
  • Vision-based wet road surface detection using mirrored and real images

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0047] A vehicle traveling along a vehicle road 12 is shown in FIG. 1 . Precipitation 14 is shown laying on the vehicle roadway 12 and is often displaced by the vehicle tires as they rotate on the wet vehicle roadway 12 . It is often advantageous to know in advance when a vehicle will be traveling along this wet vehicle path 12 so that problems due to precipitation, such as loss of traction or engine degradation due to water entering the external air intake, can be precluded or at least mitigated.

[0048] Precipitation 14 on the vehicle's path 12 can result in reduced traction when traveling on a wet road surface. Precipitation 14 placed on vehicle path 12 reduces the coefficient of friction between the vehicle tires and vehicle path 12 . Consequently, the traction between the vehicle tires and the vehicle roadway 12 is reduced. This loss of traction can be mitigated by alerting the driver to reduce vehicle speed to a speed that is conducive to ambient conditions; initiates...

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PUM

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Abstract

The invention discloses vision-based wet road surface detection using mirrored and real images. A method for determining a wet road surface condition on a road. An image exterior of the vehicle is captured by an image capture device. A real object and a virtual object are detected in the captured image. A feature point is identified on the real object and on the virtual object. A potential virtual object associated with the real object is identified on a ground surface of the road in the captured image. The feature point detected on the real object is compared with the feature point detected on the virtual object. A determination is made whether the ground surface includes a mirror effect reflective surface in response to the feature point detected on the real object matching the feature point detected on the virtual object. A wet driving surface indicating signal is generated in response to the determination that the ground surface includes a mirror effect reflective surface.

Description

technical field [0001] Embodiments generally relate to detecting wet road surfaces using reflective surfaces. Background technique [0002] Precipitation on the road on which it is driven causes a number of different problems for vehicles. For example, water on the road reduces the coefficient of friction between the vehicle's tires and the surface of the road, causing vehicle stability problems. Typically, a system or subsystem of a vehicle senses precipitation on the road using some sort of sensing operation that occurs when precipitation has negatively affected vehicle operation, such as detecting wheel slip. In such a situation, the precipitation has already affected the vehicle (eg, wheel spin), and therefore, any reaction at this point becomes passive. A proactive approach would be to know wet surface conditions in advance, as opposed to having such a system function, which can prevent loss of control caused by wet surfaces. Contents of the invention [0003] An a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/58G06T2207/30256G06T7/68G06V20/588
Inventor Q·赵W·张J·王B·B·利特库希
Owner GM GLOBAL TECH OPERATIONS LLC