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Electric vehicle chassis scratch three-dimensional detection method based on deep learning

A technology of deep learning and electric vehicles, applied in electric vehicles, neural learning methods, 3D object recognition, etc., can solve problems such as the unevenness of the automobile chassis, the inability to detect in real time, and the slow processing speed of point clouds

Active Publication Date: 2022-06-24
KUNSHAN SIWOPU INTELLIGENT EQUIP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This pure point cloud solution can eliminate the influence of surface differences caused by dirt and craftsmanship, but looking for scratches globally is easily affected by the unevenness of the car chassis, and the point cloud processing speed is slow, so it cannot be detected in real time

Method used

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  • Electric vehicle chassis scratch three-dimensional detection method based on deep learning
  • Electric vehicle chassis scratch three-dimensional detection method based on deep learning
  • Electric vehicle chassis scratch three-dimensional detection method based on deep learning

Examples

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Embodiment

[0033] Embodiment: a three-dimensional detection method for scratches on an electric vehicle chassis based on deep learning, the method includes the following steps. In step S1, an RGB-D camera is used to collect a picture of the vehicle chassis.

[0034] like figure 1 As shown, the RGB-D camera used in step S1 includes a housing 4, a left IR camera 1, a right IR camera and an RGB camera 2, the RGB camera is located in the center of the housing, the left IR camera and the The right IR camera is symmetrical about the RGB camera. A MEMS micro-mirror projector (MEMS optomechanical) is fixedly installed above the RGB camera. The RGB-D camera includes an RGB camera and an IR camera. When in use, it can be directly Use the RGB camera to capture the plan, and at the same time: three cameras take pictures of the checkerboard calibration board at different positions, calibrate the camera's internal and external parameters by Zhang Zhengyou's method, and then calculate the rotation tran...

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Abstract

The invention discloses an electric vehicle chassis scratch three-dimensional detection method based on deep learning, and relates to the technical field of electric vehicle chassis detection, and the method comprises the following steps: S1, collecting pictures, and making a data set; s2, performing data set training by using a deep learning method, extracting scratch features, and detecting a scratch region; s3, according to the obtained data model, detecting an automobile chassis picture, and selecting positions where scratches possibly appear; s4, obtaining a matrix from the RGB picture to the point cloud, and intercepting a local point cloud picture, and S5, processing the local point cloud picture, and obtaining depth information of the scratch, thereby carrying out qualitative judgment on the scratch. According to the method, the planar graph is firstly screened, and then the deleted and selected area is accurately detected, so that the detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of electric vehicle chassis detection, in particular to a three-dimensional detection method for electric vehicle chassis scratches based on deep learning. Background technique [0002] Scratches detection on the chassis of electric vehicles is very important. Excessive scratches on the chassis will damage the internal structure of the battery chassis assembly and affect driving safety. [0003] The traditional car chassis detection scheme uses a line scan camera to obtain a 2D image of the chassis, and then processes the image through deep learning methods, such as faster-rcnn, mask-rcnn and other models, to obtain scratch coordinates; or some traditional image detection methods such as frequency domain processing, Identify defect locations using methods such as blob analysis, threshold segmentation, and edge detection. This method is widely used in the inspection of electric vehicle chassis assemblies bef...

Claims

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Application Information

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IPC IPC(8): G06V20/64G06K9/62G06N3/08G06V10/30G06V10/774G06V10/82
CPCG06N3/08G06F18/214Y02T10/70
Inventor 范方祝邹魁
Owner KUNSHAN SIWOPU INTELLIGENT EQUIP CO LTD
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