Road generation method and device, storage medium and electronic equipment

A road generation and road technology, applied in the field of simulation, can solve problems such as lack of accuracy, large time and energy, and failure of 3D road scenes to meet standards, reducing time and energy and improving efficiency.

Active Publication Date: 2019-11-05
万物镜像(北京)计算机系统有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this process, if a 3D road scene for intelligent driving tests is created manually, it will take a lot of time and eff

Method used

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  • Road generation method and device, storage medium and electronic equipment
  • Road generation method and device, storage medium and electronic equipment
  • Road generation method and device, storage medium and electronic equipment

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Embodiment Construction

[0053] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0054] figure 1 It is a flowchart of a method for generating a road according to an exemplary embodiment of the present disclosure. Such as figure 1 As shown, the method includes steps 101 to 104.

[0055] In step 101, map data is acquired. The map data may be any type of map data, for example, may be high-precision map data.

[0056] In step 102, the road reference line of each road in the map is sampled according to the map data according to a preset step size, so as to obtain reference line sampling point coordinates on the road reference line. There will be information describing each road in the map data, including information such as road reference...

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Abstract

The invention relates to a road generation method and a device, a storage medium and an electronic device. The method comprises the steps of obtaining map data; sampling the road reference line of each road in the map according to the map data and a preset step length to obtain reference line sampling point coordinates on the road reference line; calculating lane line sampling point coordinates ona lane line corresponding to each lane in the road according to the definition of the width of one or more lanes in the road in the map data and reference line sampling point coordinates on a road reference line in the road; and generating the road surface of the road according to the reference line sampling point coordinates and the lane line sampling point coordinates corresponding to each lane. Thus, the road surface of the road can be formed directly through the sampling points obtained by sampling according to the map data, the road scene does not need to be constructed manually according to the map data, the problems of inaccurate manual construction and long consumed time are solved, the time and energy required for constructing the three-dimensional road scene are greatly reduced,and the efficiency is improved.

Description

technical field [0001] The present disclosure relates to the field of simulation, and in particular, relates to a road generation method, device, storage medium and electronic equipment. Background technique [0002] Before the autonomous driving system can obtain sufficient safety verification, it needs a large-scale scalable simulation test service that can perform billions or even tens of billions of kilometers. In the actual test process, due to the slow efficiency and high cost of real road tests, most car companies currently prefer to choose autonomous driving simulation tests. In the autonomous driving simulation test, the construction of a 3D road scene is an important basis, and all simulation tests need to be tested in this 3D scene. [0003] Autonomous driving simulation requires the construction of a large number of test scenarios covering various real road scenarios. Generally, high-precision 3D road scenarios are constructed based on real maps. During this pr...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06F16/29G09B29/00
CPCG06T17/00G09B29/005G06F16/29
Inventor 田宽鲍世强侯涛林轶锽张帆李熠
Owner 万物镜像(北京)计算机系统有限公司
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