Traffic light recognition method and apparatus, vehicle control method and apparatus, and vehicle
A traffic signal and recognition method technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as difficulty and recognition error signal light recognition, and achieve the effect of improving accuracy and adaptability
Active Publication Date: 2017-06-30
BEIJING AUTOMOTIVE IND CORP +1
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Problems solved by technology
However, this method is prone to recognition errors under complex conditions such as the external lighting environment is dark, the area of the signal light in the front image of the car is too small, the distance is too long, the imaging is incomplete, or the signal light is dim, and the signal light in the shape of an arrow is prone to recognition difficulties. And other issues
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[0056] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.
[0057] figure 1 It is a flowchart of a traffic signal light recognition method according to an embodiment of the present disclosure. refer to figure 1 , the method includes the following steps:
[0058] In step S11, the front image of the vehicle is collected in real time.
[0059] In the embodiments of the present disclosure, the front image of the vehicle can be collected in real time by setting an image collection device (such as a camera) on the vehicle. Optionally, the image acquisition device can be installed in front of the vehicle, such as figure 2 As shown, where l, d, h are the relative world coordinates of the image acquisition device O v x ...
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The disclosure relates to a traffic light recognition method and apparatus, a vehicle control method and apparatus, and a vehicle. The traffic light recognition method comprises: a vehicle front image is collected in real time; an area of interest of the vehicle front image is determined; the image of the area of interest is transformed from RGB space to HSI space to obtain an HIS component chart of the area of interest; local dynamic threshold segmentation is carried out on an S component of the HIS component chart to obtain segmented traffic light areas; and the segmented traffic light areas are classified by using a preset classifier to obtain traffic light information. Therefore, a problem of poor traffic light identification effect in a complex illumination environment like at night can be solved; adaptability to the illumination environment by the image processing algorithm can be enhanced; and the traffic light identification accuracy can be improved. In addition, the segmented traffic light areas are classified, so that identification of various traffic lights like a circular traffic light or an arrow-head traffic light can be realized.
Description
technical field [0001] The present disclosure relates to the technical field of vehicle control, and in particular, to a traffic signal light identification method, a vehicle control method, a device, and a vehicle. Background technique [0002] With the rapid development of the car society and economy, the demand for traffic is increasing day by day, and the limitations of the traditional vehicle control method that people observe the road and drive the vehicle are becoming more and more obvious. In order to comply with the new trend of vehicle development in the modern information society, the intelligent driving technology of vehicles has emerged as the times require. . The recognition of traffic lights plays an important role in the intelligent driving technology of vehicles. [0003] Most of the signal light recognition in related technologies is aimed at the recognition of simple background or single type of signal light, that is, according to the collected front imag...
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Login to View More IPC IPC(8): G06K9/62G06K9/32G06K9/46G06T7/11G06T7/136G06T7/187
CPCG06V10/25G06V10/50G06V10/56G06F18/241
Inventor 彭海娟张建国张绍勇
Owner BEIJING AUTOMOTIVE IND CORP