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Narrow area intersection vehicle safety auxiliary method and system based on deep learning

A deep learning and auxiliary system technology, applied in the automotive field, can solve problems such as inability to provide driver assistance and guidance, and hidden dangers in traffic safety

Pending Publication Date: 2021-09-07
FJ MOTOR GRP YUDO NEW ENERGY AUTOMOBILE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] To this end, it is necessary to provide a safety assistance method for vehicles in narrow areas based on deep learning to solve the problem that

Method used

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  • Narrow area intersection vehicle safety auxiliary method and system based on deep learning
  • Narrow area intersection vehicle safety auxiliary method and system based on deep learning
  • Narrow area intersection vehicle safety auxiliary method and system based on deep learning

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Embodiment Construction

[0044] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0045] see Figure 1 to Figure 4 , in this embodiment, a deep learning-based safety assistance method for narrow-area intersection vehicles can be applied to a deep-learning-based narrow-area intersection vehicle safety assistance system, and the deep-learning-based narrow-area intersection vehicle safety assistance system The safety assistance system includes: a camera and a cloud platform, the camera is arranged on the car (the specific location is not limited, as long as the image around the vehicle can be photographed, preferably on the roof), the camera For collecting images around the vehicle, the camera device communicates with the cloud platform; the camera device sends the collected image data around the vehicle to the cloud ...

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Abstract

The invention relates to the technical field of automobiles, and in particular relates to a narrow area intersection vehicle safety auxiliary method and system based on deep learning. The narrow area intersection vehicle safety auxiliary method based on deep learning comprises the steps of identifying lane edges, calculating lane widths according to the identified lane edges, marking intersection points according to the lane widths, recording intersection point related information and uploading the intersection point related information to a cloud platform; when two vehicles intersect, obtaining the intersection point related information from the cloud platform; and guiding the intersection of the two vehicles according to the intersection point related information. By means of the method, when the two vehicles intersect, relevant information of the appropriate intersection point can be obtained from the cloud platform, and safe intersection is carried out.

Description

technical field [0001] The present invention relates to the technical field of automobiles, in particular to a safety assistance method and system for a narrow-area intersection vehicle based on deep learning. Background technique [0002] At present, cars passing through some narrow areas mainly rely on the AVM (Around View Monitoring Video System) surround-view camera to display 360° panoramic images on the car to assist in passing through these areas. 360° panoramic images can solve traffic assistance in certain scenes. However, when the lanes of both vehicles at the intersection are too narrow, it is difficult for novice drivers to judge whether the safe passage conditions are met or the lanes cannot satisfy the passage of two vehicles, and it is necessary to select an intersection. At this time, it is a huge challenge for the driver, especially the intersection vehicles in some dangerous areas, where the roadside is a cliff or a deep ditch. In this case, the 360° pano...

Claims

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Application Information

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IPC IPC(8): B60W30/095B60W40/02B60W40/00G08G1/16
CPCB60W30/0956B60W40/02B60W40/00G08G1/16
Inventor 薛斯岐傅振兴凌政锋谢晨暐余淑豪周剑花
Owner FJ MOTOR GRP YUDO NEW ENERGY AUTOMOBILE CO LTD
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