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Information clustering method and device and storage medium

A clustering method and storage medium technology, applied in the computer field, can solve the problem of low efficiency of information clustering, achieve the effect of improving information clustering efficiency and reducing the number of matching times

Active Publication Date: 2020-09-01
知行汽车科技(苏州)股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present application provides an information clustering method, device and storage medium, which can solve the problem of low information clustering efficiency when pairwise matching is performed on all relative position information collected by sensors for clustering

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  • Information clustering method and device and storage medium
  • Information clustering method and device and storage medium
  • Information clustering method and device and storage medium

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Embodiment Construction

[0047] The specific implementations of the present application will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are used to illustrate the present application, but are not intended to limit the scope of the present application.

[0048] First, some terms involved in this application are introduced below.

[0049]Multi-sensor fusion (MSF): Utilize multi-sensor data resources of different time and space to analyze, synthesize, dominate and use the multi-sensor observation data obtained in time series under certain criteria to obtain and observe data. Consistent interpretation and description of the corresponding measured object.

[0050] Raster map: Also known as raster image, it refers to an image that is discretized in space and brightness, and is one of the representation methods of maps. A grid map contains a series of grids, each grid is given a possible value, indicating the probability that the...

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Abstract

The invention relates to an information clustering method and device and a storage medium, which belong to the technical field of computers. The method comprises the steps of obtaining n pieces of relative position information collected by each sensor in a plurality of sensors; obtaining a clustering map; for the n pieces of relative position information collected by each sensor, determining second vehicle positions of n other running vehicles on a clustering map; determining a corresponding to-be-clustered range based on each second vehicle position on the clustering map; and in each to-be-clustered range, for second vehicle positions corresponding to the relative position information collected by the different sensors, determining whether the relative position information collected by the different sensors belongs to the same other driving vehicle or not according to a difference value between the second vehicle positions to obtain an information clustering result. The problem that the information clustering efficiency is low when all relative position information collected by a sensor is matched in pairs to be clustered can be solved; the information clustering efficiency can beimproved.

Description

technical field [0001] The present application relates to an information clustering method, device and storage medium, belonging to the technical field of computers. Background technique [0002] With the development of intelligent technology, multiple sensors are usually installed on vehicles to realize automatic driving functions. For example: automatic parking, automatic driving, etc. Taking the sensor to collect the relative position information of other driving vehicles relative to the current driving vehicle as an example, each sensor may collect the relative position information of multiple other driving vehicles. With the increase of the number of sensors, how to determine the relative positions collected by different sensors To which other traveling vehicle the information corresponds is an urgent problem. [0003] A typical information clustering method includes: for a certain sensor among multiple sensors, matching each relative position information collected by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/29
CPCG06F16/29G06F18/2321
Inventor 许晨刘元山
Owner 知行汽车科技(苏州)股份有限公司
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