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Traffic sign recognition test method and device

A traffic sign recognition and traffic sign technology, which is applied in the field of traffic sign recognition testing methods and devices, can solve problems such as potential safety hazards, and achieve the effects of rapid accuracy and simple verification methods.

Active Publication Date: 2016-06-29
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In particular, when an unmanned vehicle misrecognizes some traffic signs, although the unmanned vehicle will not make obvious driving errors during the actual road test, it has a very large safety hazard

Method used

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  • Traffic sign recognition test method and device
  • Traffic sign recognition test method and device

Examples

Experimental program
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no. 1 example

[0022] figure 1 It is a flow chart of a traffic sign recognition test method provided in the first embodiment of the present invention. The method of this embodiment can be executed by a traffic sign recognition test device, which can be implemented by hardware and / or software, and generally Can be integrated in driverless vehicles. The method of this embodiment specifically includes:

[0023] 110. During the driving process of the unmanned vehicle, receive the identification information corresponding to the traffic marker placed on the driving route, and store the identification information.

[0024] As mentioned above, in order to be able to drive safely and reliably on the road, unmanned vehicles need to be able to accurately identify the traffic signs placed on the driving route through image recognition technology, and according to the signs of the identified traffic signs content and adopt corresponding automated driving strategies.

[0025] The traffic markers may in...

no. 2 example

[0043] figure 2 It is a flowchart of a traffic sign recognition testing method according to the second embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the orientation-related information of the traffic markers is specifically optimized as: the actual geographic location information corresponding to the placement position of the traffic markers; The specific optimization of the image recognition information is: the recognition geographic location information corresponding to the location of the unmanned vehicle when the traffic sign is successfully recognized and the image recognition result of the traffic sign.

[0044] Correspondingly, comparing the image recognition information with the identity information, and verifying the image recognition accuracy of the unmanned vehicle for the traffic marker is specifically optimized as follows: all the identity information in the identity informat...

no. 3 example

[0059] image 3 It is a flow chart of a traffic sign recognition testing method according to the third embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the orientation related information of the traffic sign is specifically optimized as: the system time when the identity information is wirelessly transmitted with the traffic sign sending end Corresponding sending time information; the image recognition information is specifically optimized as: the recognition time information corresponding to the system time when the traffic sign is successfully recognized and the image recognition result of the traffic sign.

[0060] Correspondingly, comparing the image recognition information with the identity information, and verifying the image recognition accuracy of the unmanned vehicle for the traffic marker is specifically optimized as follows: all the identity information in the identity information ...

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Abstract

The embodiment of the invention discloses a traffic sign recognition test method and device. The traffic sign recognition test method comprises the following steps: in a running process of an unmanned vehicle, receiving identity information corresponding to a traffic marker placed on a running route, and storing the identity information; recording the image recognition information of the unmanned vehicle passing through the traffic maker on the running route obtained by adopting an image recognition technology; and comparing the image recognition information with the identify information to verify recognition accuracy of the unmanned vehicle on the image of the traffic maker. By adopting the technical scheme, the technical effect that recognition accuracy of an image recognition technology for the unmanned vehicle in a technical innovation stage is verified by virtue of the identify information, received by a mature wireless information receiving technology, of the traffic marker is realized, and a verification method is simple and rapid and high in accuracy.

Description

technical field [0001] Embodiments of the present invention relate to information processing technology, and in particular to a traffic sign recognition testing method and device. Background technique [0002] With the development of society, cars have become an irreplaceable means of transportation for human daily life. However, it is accompanied by increasingly prominent security problems. Correspondingly, unmanned driving technology came into being. [0003] With the continuous development of unmanned driving technology, unmanned vehicles will play an increasingly important role in people's lives. The accuracy of image recognition of road traffic signs by unmanned vehicles is an important measure of the safety performance of unmanned vehicles. [0004] At present, image recognition algorithms based on unmanned vehicles emerge in endlessly, and the applicable environments of different algorithms and the recognition success rate of different traffic signs are also differ...

Claims

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Application Information

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IPC IPC(8): G08G1/0967G06K9/00
CPCG08G1/096725G06V20/582
Inventor 何军
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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