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Data labeling method and device, storage medium and vehicle

A data and cloud data technology, applied in image data processing, image analysis, instruments, etc., can solve problems such as difficult labeling, and achieve the effect of improving accuracy and easy entity labeling

Active Publication Date: 2022-08-02
XIAOMI EV TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For sensor data with low precision, such as millimeter-wave radar, it is difficult to accurately label

Method used

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  • Data labeling method and device, storage medium and vehicle
  • Data labeling method and device, storage medium and vehicle
  • Data labeling method and device, storage medium and vehicle

Examples

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Embodiment Construction

[0072] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as recited in the appended claims.

[0073] It should be noted that all actions of obtaining signals, information or data in this application are carried out under the premise of complying with the corresponding data protection regulations and policies of the local country, and with the authorization of the corresponding device owner.

[0074] figure 1 This is a flow chart of a data labeling method according to an exemplary embodimen...

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Abstract

The invention relates to the technical field of automatic driving, and relates to a data labeling method and device, a storage medium and a vehicle. The method comprises the following steps: acquiring first point cloud data to be labeled, wherein the first point cloud data is acquired by a first type sensor for a target scene within a target time period; second labeling point cloud data are obtained, the second labeling point cloud data are data obtained after entity labeling is conducted on second point cloud data, and the second point cloud data are obtained by collecting the target scene within the target time period through a second type sensor; and according to the entity labeling information of the second labeling point cloud data, performing entity labeling on the first point cloud data to obtain the first labeling point cloud data after entity labeling. By adopting the method, the purpose of performing entity labeling on the first point cloud data can be realized more easily, and the accuracy of entity labeling can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of automatic driving, and in particular, to a data labeling method, device, storage medium and vehicle. Background technique [0002] The autonomous driving system perceives the environment around the vehicle through the perception system, and makes driving decisions based on the environment around the vehicle to control the automatic driving of the vehicle. In the process of perceiving the environment around the vehicle by the perception system, the perception system will perform entity annotation (such as obstacle annotation) on the perception data collected by the sensor, and the environmental conditions around the vehicle can be determined based on the entity annotation results. The sensors on the vehicle include LiDAR (Light Detection and Ranging), camera (Camera), millimeter-wave radar (Radar), etc. Each of these sensors has advantages and disadvantages. For example, cameras are cheap, have ...

Claims

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Application Information

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IPC IPC(8): G06T7/70G06T7/90G06V10/22
CPCG06T7/70G06T7/90G06V10/225G06T2207/10028G06T2207/30204
Inventor 牛凯
Owner XIAOMI EV TECH CO LTD