Pavement roughness identification method and apparatus

A technology of road surface roughness and identification method, which is applied in the field of road surface identification, can solve problems such as susceptibility to environmental interference, high cost of optical sensors, high cost of use, and difficulty in popularization and use, so as to improve recognition accuracy, reduce use cost, and reduce cost. low effect

Active Publication Date: 2016-05-25
BEIJING JINGWEI HIRAIN TECH CO INC
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Problems solved by technology

[0004] However, the cost of optical sensors, ultrasonic sensors or lidar is relatively high, and the sensing is easily disturbed by the envi...

Method used

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  • Pavement roughness identification method and apparatus
  • Pavement roughness identification method and apparatus
  • Pavement roughness identification method and apparatus

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] figure 1 For the flow chart of the road surface roughness identification method provided by the embodiment of the present invention, refer to figure 1 , the method can include:

[0058] Step S100, sampling at least one front axle height displacement, one sampling time corresponding to one front axle height displacement;

[0059] Optionally, the embodiment of the present invention can realize the sampling of the axle height displacement of the front ax...

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Abstract

The invention provides a pavement roughness identification method and apparatus. The pavement roughness identification method includes the steps: sampling at least one front-axle axle-height displacement, wherein one sampling time is corresponding to one front-axle axle-height displacement; determining the front-axle axle-height displacement difference corresponding to each sampling time; according to the front-axle axle-height displacement difference corresponding to each sampling time, determining the number of the front-axle axle-height points of inflexion on curve, and the sum of front-axle axle-height curve amplitudes; according to the front-axle axle-height displacement corresponding to each sampling time, determining the front-axle axle-height curve fitting slope and the front-axle axle-height curve fitting variance; respectively performing fuzzy processing on the number of the front-axle axle-height points of inflexion on curve, the sum of front-axle axle-height curve amplitudes, the front-axle axle-height curve fitting slope, and the front-axle axle-height curve fitting variance so as to obtain the roughness after fuzzy processing; and determining the pavement roughness according to the roughness after fuzzy processing. The pavement roughness identification method and apparatus can improve the identification accuracy for the pavement roughness and can reduce the use cost.

Description

technical field [0001] The invention relates to the technical field of road surface recognition, in particular to a road surface roughness recognition method and device. Background technique [0002] AFS (Adaptive Front Lighting System, Adaptive Front Lighting System) is a headlight system that can automatically change more than two light patterns to adapt to changes in vehicle driving conditions. AFS plays a great role in vehicle driving safety. During the driving process of the vehicle, AFS can realize the headlights to turn left and right in the horizontal direction and swing up and down in the vertical direction according to the vehicle sensor information, vehicle status information received by the bus and road driving conditions, so as to adapt to changes in vehicle driving conditions. [0003] Road surface roughness is an important parameter of road driving conditions, so accurate identification of road surface roughness is of great significance for the normal and accu...

Claims

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Application Information

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IPC IPC(8): G01B21/30
CPCG01B21/30
Inventor 李新燕赵淑明
Owner BEIJING JINGWEI HIRAIN TECH CO INC
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