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Lane line detection method, electronic equipment, medium and vehicle

A lane line detection and lane line technology, which is applied in the fields of lane line detection, media and vehicles, and electronic equipment, can solve problems such as poor detection accuracy, achieve the effect of small parameter amount, efficient distillation, and avoid large network parameter amount

Pending Publication Date: 2022-07-29
安徽蔚来智驾科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above defects, the present invention is proposed to solve or at least partially solve the technical problem of poor detection accuracy corresponding to the existing lane line detection method

Method used

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  • Lane line detection method, electronic equipment, medium and vehicle
  • Lane line detection method, electronic equipment, medium and vehicle
  • Lane line detection method, electronic equipment, medium and vehicle

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Embodiment Construction

[0027] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0028] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of both. A module may include hardware circuits, various suitable sensors, communication ports, memory, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-transitory compute...

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Abstract

The invention relates to the field of artificial intelligence, particularly provides a lane line detection method, electronic equipment, a medium and a vehicle, and aims to solve the technical problem of relatively poor detection precision corresponding to an existing lane line detection method. In order to achieve the purpose, the lane line detection method comprises the steps that a to-be-detected image containing a lane line is acquired; a to-be-detected image is input into a lane line detection model trained by using a distillation method to identify a lane line, and a backbone network of a teacher model used by the distillation method comprises a conversion module and at least one discrimination feature generation module. The discriminant feature generation module comprises a convolution layer, a global average pooling layer and at least one full connection layer which are connected in sequence. Therefore, the detection precision of the lane line is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, and specifically provides a lane line detection method, an electronic device, a medium and a vehicle. Background technique [0002] At present, the detection of lane lines is mostly realized through the perception model of automatic driving. Since the autonomous driving perception model needs to meet the deployment of the vehicle, it is often very lightweight, and its corresponding model performance has a large room for improvement. Knowledge distillation is an effective way to improve the performance of lightweight models without making any changes to the lightweight model during the inference phase. However, in practice, there is no distillation method that effectively transfers knowledge distillation to the lane line detection scene. Therefore, the existing distillation method for lightweight models has poor distillation effect. When it is used for lane line detection, it will lead to ...

Claims

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Application Information

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IPC IPC(8): G06V20/58G06N3/04G06N3/08G06K9/62G06V10/40G06V10/774G06V10/82
CPCG06N3/08G06N3/045G06F18/214
Inventor 陆鑫
Owner 安徽蔚来智驾科技有限公司
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