Road traffic condition detection method based on vehicle-mounted camera shooting

A vehicle-mounted camera, road traffic technology, applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve problems such as inability to perform effective detection and vehicle statistics

Inactive Publication Date: 2020-11-10
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, effective detection and vehicle statistics cannot be carried out on highways, rural roads, and roads far from urban areas with fewer fixed cameras.

Method used

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  • Road traffic condition detection method based on vehicle-mounted camera shooting
  • Road traffic condition detection method based on vehicle-mounted camera shooting
  • Road traffic condition detection method based on vehicle-mounted camera shooting

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Embodiment Construction

[0046] In order to better explain the technical solution in the present invention, the specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. The described embodiments are only a part of the embodiments of the present invention and cannot be used as all of the embodiments of the present invention. represent.

[0047] Such as figure 1 As shown, the present invention includes the following parts: vehicle detection and recognition; lane detection; vehicle statistics; traffic estimation. The present invention trains the model using a vehicle dataset, which includes the amount of vehicle data and labeled data. After the training process, a weight file will be generated. Use the YOLOv3 target detection algorithm and use the weight to detect the image extracted from the video to obtain its position in the image. During the test, 10 seconds of the video taken for several minutes was intercepted. Since the vid...

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Abstract

The invention discloses a road traffic condition detection method based on vehicle-mounted camera shooting, and the method fully considers the dynamics and uncertainty of road traffic through employing a vehicle detection theory based on deep learning. Traffic condition estimation assists the vehicle in dynamically describing the current traffic condition, so that the traffic efficiency in intelligent traffic is improved. The invention provides the traffic condition detection method based on vehicle-mounted camera shooting in allusion to an intelligent traffic system so as to assist the vehicle in estimating the traffic condition through the traffic information collected by the vehicle-mounted camera shooting equipment. By integrating with edge computing and V2X networks, additional computing and communication resources may be obtained to accurately estimate traffic conditions at which the vehicle arrives. The invention provides the road traffic condition detection method based on vehicle-mounted camera shooting to count the number of vehicles running on different lanes. And finally, the fine-grained estimation is carried out on the road traffic condition.

Description

technical field [0001] The invention belongs to the field of deep learning and intelligent transportation, and in particular relates to a method for detecting road traffic conditions of a vehicle-mounted camera. Background technique [0002] Intelligent transportation is developing rapidly, and the technology applied in the automotive field is also changing rapidly. The anti-collision warning system is mainly used to assist the driver to avoid major traffic accidents such as high-speed and low-speed rear-end collisions, unintentional deviation from the lane at high speeds, and collisions with pedestrians. Various researchers are also investing a lot of resources in research. A lot of work has been done on vehicle detection and tracking. For vehicle detection, most work assumes that the camera is static. The advanced driving assistance system is mainly used to assist the driver to avoid major traffic accidents such as high-speed and low-speed rear-end collisions, unintentio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/0967H04N7/18G06K9/00G06T7/80
CPCG08G1/0104G08G1/0125G08G1/0967H04N7/18G06T7/80G06T2207/10004G06T2207/30256G06T2207/20081G06T2207/20084G06V20/588
Inventor 蔺杰黄勇赵鹏
Owner XI AN JIAOTONG UNIV
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