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Automatically-driven vehicle-based position detection method, device, apparatus and medium

A technology for automatic driving and vehicles, applied in the direction of neural learning methods, autonomous decision-making process as a feature, image data processing, etc., can solve problems such as the inability to accurately determine the position of self-driving vehicles

Inactive Publication Date: 2019-02-15
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present application provides a position detection method, device, equipment and medium based on an automatic driving vehicle, which solves the technical problem that the position of the automatic driving vehicle cannot be accurately determined in the prior art

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  • Automatically-driven vehicle-based position detection method, device, apparatus and medium
  • Automatically-driven vehicle-based position detection method, device, apparatus and medium
  • Automatically-driven vehicle-based position detection method, device, apparatus and medium

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Embodiment Construction

[0062] First, the application scenarios of the embodiments of the present application and some of the vocabulary involved are explained.

[0063] The position detection method, device, device and medium based on the self-driving vehicle provided in the embodiments of the present application can be applied in the application scenario of positioning the self-driving vehicle, and can accurately determine the position of the self-driving vehicle.

[0064] The execution subject of the location detection method based on the automatic driving vehicle provided in the embodiment of the present application may be a location detection device or control device based on the automatic driving vehicle (for the convenience of description, in this embodiment, the execution subject is the location detection method based on the automatic driving vehicle device as an example). Exemplarily, the device can be implemented by software and / or hardware.

[0065] The target line image and / or the preset...

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PUM

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Abstract

The present application provides a position detection method based on an autonomous vehicle, DEVICES, EQUIPMENT AND MEDIUM, wherein the method comprises: according to the bottom neural network layer of the slender convolution kernel neural network model, determining the feature information of the target linear object image, identifying the feature information of the target linear object image by using a high-level neural network layer in the slender convolution kernel neural network model, and determining the size information of the target linear object image; Further, size information of thetarget line image is matched with preset coordinate system map information to determine a position of the autonomous vehicle. According to an embodiment of the present application, the size information of the target line image can be accurately determined, so that the position of the autonomous vehicle can be accurately determined according to the size information of the target line image and thepreset coordinate system map information.

Description

technical field [0001] The present application relates to the technical field of automatic driving, and in particular to a position detection method, device, equipment and medium based on an automatic driving vehicle. Background technique [0002] During the operation of the self-driving vehicle, it is necessary to locate the self-driving vehicle. The linear objects (such as utility poles, zebra crossings or lane markings, etc.) in the visual image detected by the self-driving vehicle have a very good reference function for the positioning of the self-driving vehicle. Therefore, detection technology for linear objects is particularly important in the field of automatic driving. [0003] In the prior art, traditional deep learning algorithms are usually used to detect linear objects in visual images. [0004] However, in the prior art, since the linear objects in the visual image are dense and slender objects, the traditional deep learning algorithm cannot accurately detect...

Claims

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Application Information

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IPC IPC(8): G06T7/73G06V10/764G06V10/774
CPCG06T7/73G06T2207/20081G06T2207/20084G06T2207/30252G06T2207/30244G06N3/08G06V20/56G06V10/454G06V10/82G06V10/764G06V10/774G06N3/045G06F18/2413G06T7/62G05D1/0088G06N3/04
Inventor 陈佳佳万吉夏添
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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