Map error information detection method, device and equipment, vehicle and storage medium

A technology of error information and detection method, which is applied in the direction of measuring device, geographic information database, vehicle position/route/height control, etc., can solve the problem of low detection efficiency of map error information, improve timeliness and efficiency, and improve driving safety sexual effect

Pending Publication Date: 2019-05-21
APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present application provides a map error information detection method, device, equipment, vehicle a

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Map error information detection method, device and equipment, vehicle and storage medium
  • Map error information detection method, device and equipment, vehicle and storage medium
  • Map error information detection method, device and equipment, vehicle and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] Example one

[0030] This embodiment provides a method for detecting map error information, which is used to detect map errors in real time. The execution subject of this embodiment is a map error information detection device, which can be installed in a computer device, which is installed on a vehicle.

[0031] Such as figure 2 As shown, this embodiment provides a schematic flowchart of a method for detecting error information of a map, and the method includes:

[0032] Step 101: Acquire current environmental feature information around the vehicle.

[0033] Specifically, cameras (such as binocular cameras, monocular cameras, etc.), radar, lidar, millimeter wave radar and other sensors are provided on the vehicle. During the actual driving of the vehicle, the current environmental feature information around the vehicle can be obtained in real time.

[0034] The current environment feature information may include lane line feature information, intersection feature information, t...

Example Embodiment

[0049] Example two

[0050] This embodiment further supplements the method provided in the first embodiment.

[0051] Such as image 3 As shown, the schematic flow chart of the method for detecting error information of the map provided in this embodiment.

[0052] As an implementable manner, on the basis of the foregoing embodiment 1, optionally, step 101 specifically includes:

[0053] Step 1011: Obtain detection information of each sensor from multiple sensors on the vehicle.

[0054] Step 1012: Acquire current environmental feature information according to the detection information of each sensor.

[0055] Specifically, the sensors may include cameras (such as binocular cameras, monocular cameras, etc.), radar, lidar, millimeter wave radar and other sensors.

[0056] Exemplarily, each sensor collects environmental information in different directions around the vehicle. Through image recognition, point cloud visual positioning, GPS positioning, and point cloud fusion technologies, it ca...

Example Embodiment

[0081] Example three

[0082] This embodiment provides a map error information detection device, which is used to implement the method in the first embodiment above.

[0083] Such as Figure 5 As shown, the schematic diagram of the structure of the map error information detection device provided in this embodiment. The error information detection device 30 of the map includes an acquisition module 31 and a processing module 32.

[0084] Among them, the acquisition module 31 is used to acquire current environmental feature information around the vehicle; the processing module 32 is used to detect whether the map data is wrong based on the current environmental feature information and map data.

[0085] Regarding the device in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and detailed description will not be given here.

[0086] According to the map error information detection device provided in...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a map error information detection method, device and equipment, a vehicle and a storage medium. The method comprises: acquiring current environment feature information around the vehicle; And detecting whether the map data is wrong based on the current environment feature information and the map data. Whether map data is wrong or not is detected in real time based on the current environment feature information in the actual driving process of the vehicle, the timeliness and efficiency of map error detection are improved, and therefore the map data can be corrected in time, and the vehicle driving safety is improved.

Description

technical field [0001] The present application relates to the technical field of automatic driving, and in particular to a map error information detection method, device, equipment, vehicle and storage medium. Background technique [0002] With the rapid development of science and technology, automatic driving technology has gradually entered people's sight and become a hot topic at present. The realization of autonomous driving needs to rely on high-precision maps for navigation, but as time goes by, the real scene may change, resulting in some points of interest being outdated or wrong in the high-precision map compared with the real scene, so it is necessary to make high-precision maps Make corrections. [0003] In the prior art, the feature information of the actual scene is usually regularly collected to correct the map data. In this way, the map data is not corrected in time, and it is easy to bring safety risks to the driving of the autonomous vehicle. Contents of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/29
CPCG01C21/3658G01C21/3815G01C21/3848G01C21/3859H04L67/12G06V20/588G05D1/0214G05D2201/0212G05D1/0285G01C21/3492G06F16/29G06F16/2379G05D1/0223G06F18/253G06V10/993
Inventor 杨凡朱晓星王智杰宋适宇
Owner APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products