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Obstacle recognition method and device for vehicles

An obstacle recognition and obstacle technology, applied in the field of vehicle obstacle recognition, can solve the problems of reducing labeling efficiency, consuming manpower and financial resources, and improving labeling efficiency.

Active Publication Date: 2017-05-24
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing labeling methods mainly use manual labeling, which not only consumes manpower and financial resources, but also reduces the labeling efficiency

Method used

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  • Obstacle recognition method and device for vehicles
  • Obstacle recognition method and device for vehicles
  • Obstacle recognition method and device for vehicles

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Embodiment Construction

[0029] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0030] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0031] refer to figure 1 , which shows a process 100 of an embodiment of an obstacle recognition method for a vehicle according to the present application. The vehicle in this embodiment includes a laser radar sensor and an image acquisition device, wherein the laser radar ...

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Abstract

The invention discloses an obstacle recognition method and device for vehicles. The method in one specific embodiment comprises the steps of: acquiring point cloud data of a target area by using a laser radar sensor and acquiring image data of the target area by using an image acquisition device; recognizing obstacle information in the point cloud data by using a preset point cloud recognition model, and marking the recognition result to obtain a first marked result; recognizing obstacle information in the image data by using a preset image recognition model, and marking the recognition result to obtain a second marked result; comparing the first marked result with the second marked result to detect whether the both are same; and responding to the difference of the both, determining an accurate marked result in the first marked result and the second marked result, and outputting the accurate marked result. The method and the device realize quick and accurate recognition of the accurate marked result, do not need artificial marking in the whole course, and thus improve the marking efficiency.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of obstacle identification, and in particular to an obstacle identification method and device for vehicles. Background technique [0002] The correct identification of obstacles is of great significance for unmanned vehicles and the automatic driving mode of vehicles. When realizing the automatic identification of obstacles, a laser radar sensor, a millimeter-wave radar sensor or an image acquisition device is usually installed on the vehicle to collect obstacle information around the vehicle to obtain 3D point cloud data or 2D image data. Then, the trained machine learning algorithm is used to identify obstacles in the above-mentioned 3D point cloud data or 2D image data. When training the above-mentioned machine learning algorithm, the three-dimensional point cloud data or two-dimensional image data with marked obstacles are usually used to train the machi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/88G01S17/89G06K9/00G01S17/86G01S17/931
CPCG01S17/88G01S17/89G06V20/58G01S7/4802G01S17/86G01S17/931G06V20/64B60K35/22B60K2360/333B60K2360/21G06F18/22G06F18/24G06T7/70B60R2300/301B60R2300/8093G01S7/497G06T2207/10028
Inventor 胡太群
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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