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Motor vehicle zebra crossing pedestrian-yielding automatic auditing method based on deep learning

A deep learning and motor vehicle technology, applied to computer components, traffic control systems of road vehicles, instruments, etc., can solve problems such as high labor costs, low efficiency, affecting the efficiency and fairness of violation review, and achieve Improve the effectiveness of violation review

Active Publication Date: 2020-01-14
上海眼控科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0004] The traditional way of reviewing violations of regulations is mainly through manual review, correction, and inspection. This method has high labor costs and low efficiency, and the long-term repetitive work and poor subjective state of the invigilators will affect the violation of regulations. Audit efficiency, fairness and impartiality

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  • Motor vehicle zebra crossing pedestrian-yielding automatic auditing method based on deep learning
  • Motor vehicle zebra crossing pedestrian-yielding automatic auditing method based on deep learning
  • Motor vehicle zebra crossing pedestrian-yielding automatic auditing method based on deep learning

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Embodiment Construction

[0075] The present invention will be further described below in conjunction with the accompanying drawings.

[0076] The present invention is mainly based on the underlying image algorithm module and logic algorithm module.

[0077] Such as image 3 As shown in the schematic diagram, motor vehicles should give way to pedestrians when passing the zebra crossing, that is, when the pedestrians pass the zebra crossing and the vehicle's driving does not hinder the pedestrians passing through the pedestrian crossing area, the motor vehicle can drive through the pedestrian crossing area.

[0078] Such as figure 2 As shown, the underlying algorithm module is composed of pedestrian detection, vehicle detection, pedestrian tracking, vehicle tracking, and scene segmentation. The logic algorithm module integrates all information and conducts violation review and judgment. The algorithm first performs necessary image preprocessing on a set of evidence images collected by the bayonet cam...

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Abstract

The invention discloses a motor vehicle zebra crossing pedestrian-yielding automatic auditing method based on deep learning. The motor vehicle zebra crossing pedestrian-yielding automatic auditing method comprises the steps of: acquiring pictures of a vehicle passing by means of a traffic intersection captured by a means of a checkpoint camera; using a pedestrian detection algorithm to detect whether a pedestrian exists in the picture; tracking pedestrians on three pictures by using a pedestrian re-identification algorithm, and judging whether the pedestrians have obvious displacement or not according to positions of the pedestrians; using a scene segmentation algorithm to segment information of a pedestrian crossing region, and judging whether the pedestrians are in the pedestrian crossing region or not; detecting the vehicle on the snapshot pictures by using a vehicle detection algorithm; positioning and tracking a to-be-audited vehicle in the three pictures by using a license platerecognition algorithms and a vehicle re-recognition algorithm; judging whether a driving direction of the tracked vehicle conflicts with a pedestrian displacement direction or not; and judging whetherthe vehicle crosses a stop line or not in the first picture and whether the motor vehicle has displacement and stops the pedestrians from passing in the second picture and the third picture.

Description

technical field [0001] The invention relates to the technical field of fully automatic and artificial intelligence-based judgment of automatic snapshot review of illegal vehicles at traffic intersections in the field of road traffic, and in particular to intelligent image recognition methods such as target detection, character recognition, target re-recognition, attribute classification, and scene segmentation. Background technique [0002] With the continuous development of social economy and the continuous increase of people's private car ownership, the road traffic safety situation is also facing more and more severe tests. In addition to improving traffic infrastructure, building more roads, and strengthening traffic safety awareness training and education for drivers and ordinary people, reasonable legal means are also effective means to urge drivers to abide by traffic laws and reduce road casualties. The "Road Traffic Safety Law" stipulates that when a motor vehicle p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/017G06K9/00G06K9/34
CPCG08G1/0175G06V40/103G06V20/52G06V10/267
Inventor 周康明
Owner 上海眼控科技股份有限公司
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