A multi-dimensional automatic vehicle recognition method

Abstract

The present invention proposes a multi-dimensional automatic vehicle identification method, which includes the following steps: S1. The multi-dimensional roadside sensing device acquires multi-dimensional data of the vehicle, and sends the multi-dimensional data and the time and location information of the acquired data to the sensing data processing platform; S2. The perception data processing platform gathers the multi-dimensional data sent by multi-dimensional roadside sensing devices at different points for a period of time, and evaluates the characteristics of each multi-dimensional data through the data dimension characteristic evaluation unit; S3. The multi-dimensional data association construction unit is in Based on the evaluation of the characteristics of each multi-dimensional data, through the observation and comparison of the diversity of individual vehicle data, the construction of the multi-dimensional data association relationship of individual vehicles is realized, and the confidence degree of the association relationship is given by the association confidence calculation unit, so that Realize vehicle-centered one-car-one-gear.

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.

The biggest investment in this method is the card issuance process for each vehicle, which requires a lot of work

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