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Traffic light detection method, device, equipment and storage medium based on deep learning

A technology of deep learning and detection methods, which can be used in inference methods, traffic flow detection, traffic control systems for road vehicles, etc., and can solve problems such as the inability to effectively improve the accuracy of traffic light detection.

Active Publication Date: 2022-06-28
ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a traffic light detection method, device, equipment and storage medium based on deep learning, aiming to solve the technical problem that the prior art cannot effectively improve the accuracy of traffic light detection

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  • Traffic light detection method, device, equipment and storage medium based on deep learning
  • Traffic light detection method, device, equipment and storage medium based on deep learning
  • Traffic light detection method, device, equipment and storage medium based on deep learning

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Embodiment Construction

[0045] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0046] refer to figure 1 , figure 1 This is a schematic structural diagram of a traffic light detection device based on deep learning of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0047] like figure 1As shown, the deep learning-based traffic light detection device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Among them, the communication bus 1002 is used to realize the connection communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired int...

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Abstract

The present invention relates to the technical field of automatic driving, and discloses a traffic light detection method, device, device and storage medium based on deep learning. The method includes: collecting traffic light image information and road scene information information and road scene information to generate a corresponding sample data set; according to the preset deep learning algorithm, the sample data set and the current traffic light data set are trained; according to the preset conversion strategy, the target weight model obtained by training is converted to obtain the OM model ; The OM model is reasoned according to the preset deep learning reasoning model library, and the corresponding reasoning results are obtained. The converted OM model is reasoned through the preset deep learning reasoning model library, and the detection of traffic light signals is realized based on the reasoning results. In the prior art, by installing the roadside unit equipment and the vehicle unit equipment to detect the traffic light signal, the detection accuracy can be effectively improved and the detection cost can be reduced.

Description

technical field [0001] The present invention relates to the technical field of automatic driving, and in particular, to a traffic light detection method, device, device and storage medium based on deep learning. Background technique [0002] With the rapid development of science and technology, the steady development of autonomous driving technology has become a trend. At the same time, due to the rapid development of hardware platforms and algorithms, the level of autonomous driving is getting higher and higher, and it is gradually entering the L3 and L4 stages. At present, obstacles A major challenge in the development of autonomous vehicles is how to accurately detect and identify traffic lights when autonomous vehicles are driving. The commonly used detection technology solutions in the existing technology are based on vehicle-to-external information exchange (Vehicle ToEverything, V2X). Signal reception and visual inspection. For signal reception, a roadside unit (RSU) ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06V10/80G06V20/54G06K9/62G06N5/04G06N3/04
CPCG08G1/0104G06N5/04G06V20/54G06N3/045G06F18/25
Inventor 李涛吴琼丁钊范贤根徐毅林姜建满
Owner ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD