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Scene processing method, device and equipment, storage medium and product

A processing method and scene technology, applied in the fields of data processing, autonomous driving and intelligent transportation, can solve the problems of missed detection, sample diversity decline, loss, etc., to achieve the balance of processing efficiency, sampling diversity and comprehensiveness, and improve sampling The effect of diversity

Pending Publication Date: 2021-03-30
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
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Problems solved by technology

Although this scheme can achieve the compression effect of massive scenes, the obvious disadvantage of this scheme is that, while keeping the overall distribution of samples unchanged, uniform sampling leads to a decrease in sample diversity, especially for low-frequency scenes with a relatively low proportion (that is, without Common scenarios) will be lost due to sparse sampling, so it will cause insufficient test coverage, which will lead to the risk of missing tests

Method used

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  • Scene processing method, device and equipment, storage medium and product
  • Scene processing method, device and equipment, storage medium and product
  • Scene processing method, device and equipment, storage medium and product

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Embodiment Construction

[0035] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0036] Embodiments of the present disclosure provide a scene processing method, such as figure 1 As shown, the method includes:

[0037] Step S101: Based on the target compression factor of the scene set and the importance degree value of each scene in the scene set, determine the probability of each scene being sampled.

[0038] Step S102: based on the sampling proba...

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Abstract

The invention discloses a scene processing method, device and equipment, a storage medium and a product, and relates to the fields of automatic driving, intelligent transportation and the like. According to the specific implementation scheme, the method comprises the steps of determining a probability that each scene is sampled based on a target compression coefficient of a scene set and an importance degree value of each scene in the scene set; and based on the probability that each scene is sampled, sampling the scene set to realize compression of the scene set. By means of the method, the sampling diversity is improved, and the balance among the processing efficiency, the sampling diversity and the comprehensiveness is realized.

Description

technical field [0001] The present disclosure relates to the field of data processing, and in particular to fields such as automatic driving and intelligent transportation. Background technique [0002] Unmanned vehicles, that is, self-driving vehicles, are self-driving controls based on big data and can cope with various scenarios. For accurate control, various scenarios covered by the vehicle need to be tested. From the perspective of vehicle test coverage, the more scenarios tested, the more comprehensive the coverage. However, as the magnitude of scenarios increases, the cycle time and resource requirements for a full test will increase significantly in the face of massive scenarios. Therefore, from the perspective of actual use, resource event consumption can be reduced as much as possible while meeting a certain coverage rate. . In the traditional test scheme, a certain proportion of random and uniform sampling is generally used for testing a large number of scenes,...

Claims

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Application Information

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IPC IPC(8): H03M7/30
CPCH03M7/30
Inventor 朱建华
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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