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Data annotation method and device, computer equipment and storage medium

A data and cloud data technology, applied in the field of machine learning, can solve problems such as low detection accuracy, heavy workload, and low neural network training efficiency

Pending Publication Date: 2021-06-18
SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In related technologies, in order to improve the efficiency of information processing, the trained neural network is usually used to process the information collected by the radar. For the newly launched new radar, its wiring harness and detection range may be different from those of the used radar. , if the neural network corresponding to the used radar is used to directly identify the point cloud data collected by the new radar, the detection accuracy may be low due to the differences in wiring harness and detection range between the new and old radars
However, if the neural network corresponding to the new radar is retrained, it is necessary to label the point cloud data collected by the new radar, and then use the labeled point cloud data to train the neural network. Due to the large workload of the labeling process of point cloud data , so it may cause the training efficiency of the neural network to be low

Method used

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  • Data annotation method and device, computer equipment and storage medium
  • Data annotation method and device, computer equipment and storage medium
  • Data annotation method and device, computer equipment and storage medium

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Embodiment Construction

[0090] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. The components of the disclosed embodiments generally described and illustrated herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative effort shall fall wi...

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Abstract

The invention provides a data labeling method and device, computer equipment and a storage medium. The data labeling method comprises the steps: acquiring the first point cloud data and second point cloud data synchronously collected by a first radar and a second radar for the same scene; determining a target detection result of the first point cloud data based on a trained first neural network, wherein the first neural network is obtained by training a sample point cloud collected by the first radar; based on the relative position relationship between the first radar and the second radar and the target detection result of the first point cloud data, determining a labeling result corresponding to the second point cloud data.

Description

technical field [0001] The present disclosure relates to the field of machine learning, and in particular, to a data labeling method, device, computer equipment and storage medium. Background technique [0002] With the development of information technology, unmanned driving technology has gradually been widely used. At present, unmanned driving technology mainly collects point cloud data through radar, and then recognizes objects in the collected point cloud data based on the trained neural network, thereby realizing obstacle avoidance. [0003] With the rapid development of radar technology, more and more new radars have appeared. new problem. [0004] In related technologies, in order to improve the efficiency of information processing, the trained neural network is usually used to process the information collected by the radar. For the newly launched new radar, its wiring harness and detection range may be different from those of the used radar. , if the neural networ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/25G06N3/045G06F18/214
Inventor 索传哲王哲
Owner SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD