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Traffic signal identification method and device

A traffic signal and recognition method technology, which is applied in the field of traffic signal recognition methods and devices, can solve problems such as incomplete images, unrecognizable, and different shapes of traffic lights, and achieve strong penetration and improve recognition accuracy.

Pending Publication Date: 2022-02-22
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Under the current technical conditions, most of the signal sources of traffic lights are LEDs. When using the images collected by cameras to identify traffic lights, there are many defects, such as different shapes of traffic lights, color distortion after imaging, incomplete images, and interference from many road objects. The camera itself is also limited by the detection distance and the environment, and it cannot be recognized in severe weather such as smog, rain, and snow.

Method used

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Embodiment Construction

[0077] Embodiments of the present application provide a traffic signal recognition method and device, which are used to improve the recognition accuracy of traffic signals.

[0078] For ease of understanding, the following briefly introduces some technical terms involved in the embodiments of this application:

[0079] 1. Near infrared

[0080] Near infrared light (near infrared, NIR) is an electromagnetic wave between visible light (VIS) and mid-infrared light (MIR). Electromagnetic waves are traditionally divided into near-infrared short-wave (780-1100nm) and near-infrared long-wave (1100-2526nm) regions.

[0081] The near-infrared light in the embodiment of the present application refers to light with a wavelength range of 780-1100 nm, and is also called a near-infrared light signal in the embodiment of the present application.

[0082] Since near-infrared light has a longer wavelength than visible light, it can diffract tiny particles, has a better ability to penetrate c...

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Abstract

The embodiment of the invention discloses a traffic signal identification method, a traffic signal indication device and a terminal, which are applied to the field of intelligent driving. According to the traffic signal indicating device provided by the embodiment of the invention, besides a visible light signal indicating system in an existing traffic light mode, the near-infrared light source is additionally arranged, and the vehicle-mounted terminal is based on the collected near-infrared light signal; and traffic operation information indicated by the traffic signal indicating device is determined. As the penetrating power of the near-infrared light signal is higher than that of the visible light signal, the recognition accuracy of the traffic signal can be improved.

Description

technical field [0001] The present application relates to the field of intelligent driving, in particular to a traffic signal recognition method and device. Background technique [0002] The identification of traffic lights is a difficult problem that needs to be solved in the process of automatic driving. [0003] In the existing vehicle-mounted auxiliary driving system, the vehicle-mounted camera is used to identify the color information of traffic lights. [0004] Under the current technical conditions, most of the signal sources of traffic lights are LEDs. When using the images collected by cameras to identify traffic lights, there are many defects, such as different shapes of traffic lights, color distortion after imaging, incomplete images, and interference from many road objects. The camera itself is also limited by the detection distance and the environment, and it cannot be recognized in severe weather such as smog, rain, and snow. Contents of the invention [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/04G08G1/095G08G1/0967
CPCG08G1/04G08G1/095G08G1/096725G08G1/09623G06V20/584G06V10/143G06V10/765G06T7/50G06T2207/10048G06T2207/30252
Inventor 李江胡翔宇胡红旗
Owner HUAWEI TECH CO LTD
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