Obstacle location method, device, computer equipment and storage medium in semantic map

A technology of semantic map and positioning method, applied in the field of device, computer equipment and storage medium, and obstacle positioning method in semantic map, can solve problems such as low accuracy, and achieve the effect of reasonable results and accurate driving strategies

Active Publication Date: 2022-05-17
WERIDE CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the traditional way of locating obstacles in the semantic map has low accuracy

Method used

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  • Obstacle location method, device, computer equipment and storage medium in semantic map
  • Obstacle location method, device, computer equipment and storage medium in semantic map
  • Obstacle location method, device, computer equipment and storage medium in semantic map

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] The obstacle positioning method in the semantic map provided by this application can be applied to figure 1 computer equipment shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. ...

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Abstract

The present application relates to a method, a device, a computer device and a storage medium for locating obstacles in a semantic map. The method includes: obtaining the obstacle coordinates of the obstacle and the driving speed of the obstacle; selecting an initial area in the semantic map according to a preset selection radius according to the obstacle coordinates, and using a preset screening rule to select multiple The road points are screened to obtain the target road point that matches the position of the obstacle in the semantic map, and the target road point is used as the position of the obstacle in the semantic map. Wherein, the screening rule is to filter the road points according to at least one of the driving speed of the obstacle, the direction of the road point, the distance between the road point and the obstacle coordinates, the distance between the road points and the connection relationship between the road points rule. Using this method can make the result of obstacle location in the semantic map more reasonable, accurate and reliable.

Description

technical field [0001] The present application relates to the technical field of automatic driving, in particular to a method, device, computer equipment and storage medium for locating obstacles in a semantic map. Background technique [0002] With the rapid development of science and technology, the development of autonomous driving technology is getting faster and faster, and it is constantly being applied in all walks of life. [0003] In the process of automatic driving, vehicles often use preset high-precision maps, such as semantic maps, to know the road conditions and navigate the road conditions. Therefore, obstacles, such as vehicles and pedestrians, need to be located in the semantic map to identify The location of obstacles to determine the navigation strategy. Therefore, the accurate positioning of obstacles in the semantic map is particularly important. Usually, people use sensors to detect obstacles, such as cameras to take pictures, or combine radar to dete...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02
CPCG05D1/0274G06V10/22G06V20/00G01C21/3453G06T7/70G06T7/20
Inventor 林渲竺钟华韩旭
Owner WERIDE CORP
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