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Method and device for detecting stains on camera lens of vehicle-mounted system

A vehicle-mounted system and detection method technology, applied in image data processing, instruments, calculations, etc., can solve problems such as safety and reliability threats of automatic driving systems, and achieve the effect of improving accuracy

Pending Publication Date: 2022-03-25
SHENZHEN DEEPROUTE AI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For in-vehicle system cameras, the lens is extremely susceptible to contamination, but in terms of autonomous driving technology, the camera is an extremely important sensor, and the accuracy of its recognition results is crucial to autonomous driving. When the vehicle is working, the camera needs to provide a clean and unsmudged lens image, especially when the vehicle is at high speed or turning. If there is stain on the camera lens, it may pose a threat to the safety and reliability of the automatic driving system.

Method used

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  • Method and device for detecting stains on camera lens of vehicle-mounted system
  • Method and device for detecting stains on camera lens of vehicle-mounted system
  • Method and device for detecting stains on camera lens of vehicle-mounted system

Examples

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Embodiment 1

[0059] see figure 1 , figure 1 It is a schematic flowchart of an embodiment of a method for detecting stains on a camera lens in a vehicle-mounted system of the present application. It should be noted that the embodiment of the present application can be applied to a vehicle-mounted system or a server.

[0060] The vehicle-mounted system camera lens stain detection method in this embodiment includes but is not limited to the following steps:

[0061] Step 110, acquiring the accumulated image processed by the vehicle system.

[0062] In this step, the specific method for obtaining the accumulated images processed by the on-board system can be found in image 3 , mainly including the following steps:

[0063] Step 1101, acquire at least two images.

[0064] In this step, the image may be an image collected by the camera device. In a specific embodiment, the image is an image collected by the camera device in real time and periodically.

[0065] In addition, it should be not...

Embodiment 2

[0095] see figure 2 , figure 2 It is a schematic flow chart of another embodiment of the method for detecting stains on the camera lens of the vehicle-mounted system of the present application. The control method in this embodiment mainly includes the following steps:

[0096] Step 210, acquiring the accumulated image processed by the vehicle system.

[0097]In this step, the specific method for obtaining the accumulated images processed by the vehicle system may include obtaining at least two images; performing filtering processing on the images; calculating the brightness of the images, and if the brightness of the images is greater than or equal to the brightness preset value, the images are processed. Accumulation, if the image brightness is lower than the brightness preset value, first increase the image brightness and then accumulate the image. Refer to the foregoing embodiments for specific content, and details are not repeated here.

[0098] Step 220, performing m...

Embodiment 3

[0112] see Figure 5 , Figure 5 It is a schematic flow chart of another embodiment of the method for detecting stains on the camera lens of the vehicle-mounted system of the present application. The control method in this embodiment mainly includes the following steps:

[0113] Step 601, acquire at least two images captured by the camera of the vehicle system at a preset time interval.

[0114] In this step, the image here can be the image collected by the vehicle-mounted system camera device, or the image intercepted from the video recorded by the vehicle-mounted system camera device, etc. In addition, it is necessary to record the image captured by the vehicle-mounted system camera. Sampling image time, when the sampling time interval is greater than the preset time threshold, the graphics captured within the sampling interval time are accumulated. The embodiment of the present invention does not specifically limit it. Please refer to the foregoing embodiments for specif...

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Abstract

The invention discloses a vehicle-mounted system camera lens stain detection method and device and a storage medium. The method comprises the following steps: acquiring an accumulated image obtained by processing of a vehicle-mounted system; performing mean processing on the accumulated image to obtain a mean image; obtaining at least one region mask based on the mean value image; and determining whether stains exist on the camera lens of the vehicle-mounted system based on the area mask. The method provided by the invention is suitable for the vehicle-mounted system, the accuracy of stain detection of the camera lens of the vehicle-mounted system can be improved, and the workload is reduced.

Description

technical field [0001] The present application relates to the technical field of camera lenses of vehicle-mounted systems, and in particular to a method and device for detecting stains on camera lenses of vehicle-mounted systems. Background technique [0002] For in-vehicle system cameras, the lens is extremely susceptible to contamination, but in terms of autonomous driving technology, the camera is an extremely important sensor, and the accuracy of its recognition results is crucial to autonomous driving. When the vehicle is working, the camera needs to provide a clean and stain-free lens image, especially when the vehicle is at high speed or turning. If there is stain on the camera lens, it may pose a threat to the safety and reliability of the automatic driving system. [0003] Therefore, it is necessary to design an on-board system camera lens stain detection device to automatically detect lens stains, so that the on-board system can take corresponding measures to solve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/194G06T7/62G06T5/20G06T5/50
CPCG06T7/0002G06T7/62G06T5/20G06T5/50G06T7/11G06T7/136G06T7/194G06T2207/10024G06T2207/20032G06T2207/10016
Inventor 黎国伟杨超
Owner SHENZHEN DEEPROUTE AI CO LTD