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Traffic target identification method based on DBSCAN algorithm

A target recognition and traffic technology, applied in the field of traffic target recognition based on DBSCAN algorithm, can solve the problems of traffic target recognition and classification

Pending Publication Date: 2021-09-10
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method classifies moving and stationary targets by speed, and does not recognize and classify traffic targets in a comprehensive traffic environment.

Method used

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  • Traffic target identification method based on DBSCAN algorithm
  • Traffic target identification method based on DBSCAN algorithm
  • Traffic target identification method based on DBSCAN algorithm

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and exemplary embodiments.

[0031] A traffic target recognition method based on the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm of the present invention is a density-based spatial clustering algorithm, which divides areas with sufficient density into clusters, and divides areas with sufficient density Clusters of arbitrary shape are found in spatial databases and are defined as the largest collection of densely connected points.

[0032] The principle of the DBSCAN algorithm is: the maximum density connected sample set is derived from the density reachable relationship. There are one or more core objects in such a set. If there is only one core object, all other non-core objects in the cluster are in this core object. In the ε neighborhood of ; if there are multiple core objects, then the ε neighborhood of any core object must...

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Abstract

The invention discloses a traffic target identification method based on a DBSCAN algorithm, and belongs to the technical field of data processing. The method comprises the steps of: firstly, using a millimeter wave radar for detecting a to-be-detected target in a continuous time period, and obtaining different position information of the to-be-detected target; secondly, taking the position information as point cloud data, and clustering the point cloud data by using a DBSCAN clustering algorithm to obtain clusters; performing identification and division of target types by using the number of scattering points in the clusters; after the target types corresponding to the clusters are obtained, counting the number of the target types, and finally completing identification and counting of traffic targets in comprehensive traffic environment. The target identification accuracy is improved, and the identification process is simple and efficient.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a traffic target recognition method based on a DBSCAN algorithm. Background technique [0002] With the rapid increase in the number of motor vehicles in the country, traffic-related problems such as traffic congestion, random parking, accident disputes and vehicle safety are becoming more and more serious. In order to deal with such problems, various "electronic police systems" have emerged, and radar plays an important role in electronic police systems. Among them, millimeter-wave radar is widely used in electronic police systems because of its all-weather work, small size, light weight and good spatial resolution. [0003] The existing common technical means for identifying traffic targets is to collect data through a camera, and then perform image data processing for target recognition. However, the target recognition technology scheme for radar generally classifies...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G01S13/72G01S17/50
CPCG01S13/726G01S17/50G06F18/23G06F18/24
Inventor 余建国贺越宋铮王斓张佳郭江奇何继开
Owner BEIJING UNIV OF POSTS & TELECOMM
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