Multi-dimensional automatic vehicle identification method

Abstract

The invention provides a multi-dimensional automatic vehicle identification method, which comprises the following steps that: S1, multi-dimensional roadside sensing equipment acquires multi-dimensional data of a vehicle, and sends the multi-dimensional data and time and position information for acquiring the data to a sensing data processing platform; S2, after the sensing data processing platform gathers the multi-dimensional data sent by the multi-dimensional roadside sensing equipment at different point locations within a period of time, performing feature evaluation on each piece of multi-dimensional data through a data dimension feature evaluation unit; and S3, on the basis of each multi-dimensional data feature evaluation, a multi-dimensional data association construction unit realizing the construction of an individual vehicle multi-dimensional data association relationship through observation and comparison of individual vehicle data diversity, and giving the confidence of the association relationship through an association confidence calculation unit, thereby realizing one-vehicle one-gear taking the vehicle as the center.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a multi-dimensional automatic vehicle identification method. Background technique [0002] With the development and progress of intelligent transportation and Internet of Things technology, more and more sensors and auxiliary driving equipment are integrated into vehicles, which not only brings safety and convenience to drivers, but also provides new solutions for the fields of intelligent transportation and public security. New effective technical means. The use of existing sensor data for basic information perception and acquisition has become a major trend in the development of the current intelligent transportation and public security fields. [0003] At present, the basic information perception and acquisition methods on the road are mainly divided into two categories: one is through video capture on road checkpoints and image-based vehicle recognition te...

AI Technical Summary

Problems solved by technology

[0003] At present, the basic information perception and acquisition methods on the road are mainly divided into two categories: one is through video capture on road checkpoints and image-based vehicle recognition technology. This technical means generally reflects that there are several more prominent problems that need to be further improved. Perfect solution: 1. The installation of video surveillance equipment requires a specific angle, a vertical bar, or even a special door frame, and the implementation cost is relatively high

2. Video imaging technology relies on light, and it is easy to receive interference from external factors such as weather, occlusion, and reflections.

4. The video and images output by the device are unstructured data, and the cost of data transmission and storage is high. It needs to be structured first to facilitate later retrieval and other related applications.

However, due to the limitations of the installation method and collection method, multiple target data collected cannot be accurately associated with specific vehicles in a single collection. It is necessary to analyze the data collected by passing vehicles multiple times to achieve multi-dimensional vehicle-centric The association of data is the problem solved by the present invention

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