CN-122015715-A - Traffic pavement evenness detection system and detection method

Abstract

The application discloses a traffic pavement evenness detecting system and a detecting method, wherein the traffic pavement evenness detecting system comprises a vehicle, a laser 3D camera and a processor, wherein the vehicle is used for being in a form on a traffic pavement, the laser 3D camera is used for collecting road end face outline data of the traffic pavement when the vehicle runs, and the processor is used for obtaining evenness data of the traffic pavement according to the road end face outline data, running data and state data of the vehicle. The traffic road surface flatness detection system and the traffic road surface flatness detection method have the beneficial effects that the traffic road surface flatness detection system and the traffic road surface flatness detection method can be used for detecting rapidly and quickly.

Inventors

• WANG YUGUO
• YUAN XINMING

Assignees

• 翌视智能科技(上海)有限公司

Dates

Publication Date

20260512

Application Date

20251222

Claims (10)

1. 1. A traffic road surface roughness detecting system, its characterized in that: the traffic road surface flatness detection system includes: a vehicle for forming on a traffic surface; The laser 3D camera is used for collecting road end surface contour data of the traffic pavement when the vehicle runs; and the processor is used for obtaining the flatness data of the traffic pavement according to the road end surface contour data, the running data and the state data of the vehicle.
2. 2. The traffic road surface flatness detection system according to claim 1, characterized in that: the traffic road surface flatness detection system includes: And the driving sensor is used for detecting driving data of the vehicle.
3. 3. The traffic road surface flatness detection system according to claim 1, characterized in that: the traffic road surface flatness detection system includes: And the state sensor is used for detecting the state data of the vehicle.
4. 4. A traffic road surface flatness detection system according to any one of claims 1 to 3, characterized in that: The driving data of the vehicle comprises displacement data of the vehicle; the state data of the vehicle includes tire pressure data of the vehicle.
5. 5. The traffic road surface flatness detection system of claim 4, wherein: The processor includes: a correction unit for correcting the road end face profile data according to the road end face profile data; the fusion unit is used for fusing the multi-frame corrected road end face contour data to obtain road overall contour data; and the calculating unit is used for calculating the flatness data of the traffic pavement according to the whole road contour data.
6. 6. A traffic road surface flatness detection method is characterized in that: the traffic pavement evenness detecting method is realized by the traffic pavement evenness detecting device; the traffic road surface flatness detection system includes: a vehicle for forming on a traffic surface; The laser 3D camera is used for collecting road end surface contour data of the traffic pavement when the vehicle runs; the processor is used for obtaining the flatness data of the traffic pavement according to the road end face contour data, the running data and the state data of the vehicle; The traffic pavement evenness detection method comprises the following steps: And obtaining the flatness data of the traffic pavement according to the road end surface contour data, the running data and the state data of the vehicle.
7. 7. The traffic road surface flatness detection method according to claim 6, characterized in that: the traffic road surface flatness detection system includes: And the driving sensor is used for detecting driving data of the vehicle.
8. 8. The traffic road surface flatness detection method according to claim 7, characterized in that: the traffic road surface flatness detection system includes: And the state sensor is used for detecting the state data of the vehicle.
9. 9. The traffic road surface flatness detection method according to any one of claims 6 to 8, characterized in that: The driving data of the vehicle comprises displacement data of the vehicle; the state data of the vehicle includes tire pressure data of the vehicle.
10. 10. The traffic road surface flatness detection method according to claim 9, characterized in that: The processor includes: a correction unit for correcting the road end face profile data according to the road end face profile data; the fusion unit is used for fusing the multi-frame corrected road end face contour data to obtain road overall contour data; the calculating unit is used for calculating the flatness data of the traffic pavement according to the whole road contour data; The traffic pavement evenness detection method comprises the following steps: collecting the road end surface profile data, the driving data and the state data; Correcting the road end surface profile data according to the road end surface profile data; fusing the multi-frame corrected road end surface contour data to obtain road overall contour data; And calculating the flatness data of the traffic pavement according to the whole outline data of the road.

Description

Traffic pavement evenness detection system and detection method Technical Field The application relates to the technical field of image detection, in particular to a traffic road surface flatness detection system and a detection method. Background The development of the expressway in China has been changed from a large-scale construction stage to a large-scale maintenance stage, and efficient and automatic pavement measurement and detection technology has become an important requirement in industry. The flatness of a road surface is one of the key indicators of road surface quality, which affects the safety, comfort, vehicle running ability and the service life of the road surface. Currently, the main stream methods include a three meter ruler method, a continuous leveling instrument method, a vehicle-mounted bump accumulation instrument method and a detection method based on visual image processing. However, the existing method has the problems of low detection efficiency or poor suitability. Disclosure of Invention The summary of the application is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. The summary of the application is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present application provide a system and a method for detecting flatness of a traffic road surface, so as to solve the technical problems mentioned in the background section. As a first aspect of the present application, some embodiments of the present application provide a traffic road surface flatness detection system, the traffic road surface flatness detection system comprising: a vehicle for forming on a traffic surface; The laser 3D camera is used for collecting road end surface contour data of the traffic pavement when the vehicle runs; and the processor is used for obtaining the flatness data of the traffic pavement according to the road end surface contour data, the running data and the state data of the vehicle. Optionally, in some embodiments of the present application, the traffic road surface flatness detection system includes: And the driving sensor is used for detecting driving data of the vehicle. Optionally, in some embodiments of the present application, the traffic road surface flatness detection system includes: And the state sensor is used for detecting the state data of the vehicle. Optionally, in some embodiments of the present application, the driving data of the vehicle includes displacement data of the vehicle; the state data of the vehicle includes tire pressure data of the vehicle. Optionally, in some embodiments of the application, the processor includes: a correction unit for correcting the road end face profile data according to the road end face profile data; the fusion unit is used for fusing the multi-frame corrected road end face contour data to obtain road overall contour data; and the calculating unit is used for calculating the flatness data of the traffic pavement according to the whole road contour data. As a second aspect of the present application, some embodiments of the present application provide a traffic road surface flatness detection method, characterized in that: the traffic pavement evenness detecting method is realized by the traffic pavement evenness detecting device; the traffic road surface flatness detection system includes: a vehicle for forming on a traffic surface; The laser 3D camera is used for collecting road end surface contour data of the traffic pavement when the vehicle runs; the processor is used for obtaining the flatness data of the traffic pavement according to the road end face contour data, the running data and the state data of the vehicle; The traffic pavement evenness detection method comprises the following steps: And obtaining the flatness data of the traffic pavement according to the road end surface contour data, the running data and the state data of the vehicle. Optionally, in some embodiments of the present application, the traffic road surface flatness detection system includes: And the driving sensor is used for detecting driving data of the vehicle. Optionally, in some embodiments of the present application, the traffic road surface flatness detection system includes: And the state sensor is used for detecting the state data of the vehicle. Optionally, in some embodiments of the present application, the driving data of the vehicle includes displacement data of the vehicle; the state data of the vehicle includes tire pressure data of the vehicle. Optionally, in some embodiments of the application, the processor includes: a correction unit for correcting the road end face profile data according to the road end face profile data; the fusion unit is used for fusing the multi-frame corrected road end face contour data to obtain roa