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Generation system for high-precision road map

A generation system, high-precision technology, applied in road network navigator, photo interpretation, geographic information database, etc., can solve the problems of heavy workload and high cost of high-precision map production or update, to reduce scene complexity, The effect of improving accuracy, improving recognition rate and ranging accuracy

Inactive Publication Date: 2017-03-22
陈曦
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a high-precision road map generation system in order to solve the problem of heavy workload and high cost in the production or update of existing high-precision maps

Method used

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  • Generation system for high-precision road map
  • Generation system for high-precision road map

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specific Embodiment approach 1

[0021] Specific implementation mode one: the following combination figure 1 and Figure 7 Describe this embodiment, the generation system of high-precision road map described in this embodiment, described generation system carries out data acquisition by collecting two pairs of vehicle-mounted cameras on the vehicle, and it comprises:

[0022] The data acquisition module is used to acquire the image data along the road obtained by two pairs of on-board cameras in the driving environment of the acquisition vehicle, the position coordinate data of the two pairs of on-vehicle cameras, the heading angle of the acquisition vehicle and the current slope data of the road;

[0023] Data processing module: used to preprocess the binocular image data obtained by two pairs of on-board cameras to obtain corrected image data; classify the corrected image data according to the deep learning algorithm; use the deep learning model to classify the corrected image data Extract and match the fe...

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Abstract

The invention relates to a generation system for a high-precision road map and belongs to the technical field of high-precision maps. The purpose is to solve the problems that the workload of producing or updating an existing high-precision map is large, and cost is high. High-precision positioning and high-precision matching are achieved relative to the existing map, existing information of the existing map is fully utilized, and the workload and cost for producing / updating of the high-precision map are lowered. The generation system is characterized in that road elements recognized through deep learning, computer vision and other methods and obtained accurate relative position information form a ground one-dimension thick and space three-dimensional sparse map similar to Mobileye, and the map can be matched and fused with an existing traffic information system GIS-T. Based on an existing low-precision electronic map, a positioning system and a vehicle-mounted camera, producing / updating of the high-precision map are achieved at a low cost. The generation system is used for producing or updating the existing high-precision road map.

Description

technical field [0001] The invention relates to a generating system of a high-precision road map, and belongs to the technical field of high-precision maps. Background technique [0002] Traditional maps only store a small amount of label information for road features such as road centerlines and road names. These information can only represent the greatly simplified actual traffic environment, and cannot reflect the detailed conditions of the road with high precision. Compared with traditional maps, high-precision maps can provide high-precision coordinates, detailed road information such as accurate road shapes, lane lines, traffic signs, slopes, elevations, and rolls, as well as rich geographical elements, which can provide accurate information for the future. The latest technologies such as location based services (Location Based Services, LBS) and unmanned driving provide a solid foundation, so they have received more and more attention. Especially when severe weather...

Claims

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Application Information

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IPC IPC(8): G01C21/32G01C11/04G06F17/30
CPCG01C21/32G01C11/04G06F16/29
Inventor 陈曦
Owner 陈曦
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