Intelligent 3D laser road state detecting vehicle

Abstract

The intelligent 3D laser road state detecting vehicle includes vehicle body, rideograph set on one side below the vehicle body, laser road disease instrument, wheel track and road form instrument, laser power supply and central information processor inside the vehicle body and connected to the fore said instruments. The rideograph consists of two elevation meters with shared beam; the road disease instrument consists of area light source lighting the road and linear CCD detector array; and the wheel track and road form instrument consists of one or several small area light source and area CCD detector array. The present invention can realize fast road detection to obtain various road surface parameters and 3D data in high precision.

Description

A technical field [0001] The invention relates to a detection device for road surface elevation fluctuations, flatness, ruts, cracks, potholes and other diseases, and microscopic unevenness textures, etc., in particular to a laser three-dimensional intelligent detection vehicle for road surface conditions. Two background technology [0002] With the rapid development of high-grade highways and expressways, high-speed real-time detection technology is required to conduct high-speed and efficient detection of road surface elevation fluctuations, flatness, ruts, cracks, potholes and other diseases and mesocosms without affecting normal traffic. Intelligent detection of parameters such as unevenness and texture. The unevenness of the highway surface and the ruts formed by the fixed lane traffic not only cause the body bumps and discomfort, but also accelerate the damage of the vehicle and even cause traffic accidents. The three pavement parameters of pavement and disease (such ...

AI Technical Summary

Problems solved by technology

Use the altimeter at the left and right wheels and the acceleration sensor placed there to eliminate the vibration of the vehicle body to measure the longitudinal flatness of the road, but there are still measurement errors caused by the acceleration sensor being very sensitive to pitch and turning and the use of a large number of sensors. Problems such as synchronization and calibration difficulties;; For the measurement of road surface cracks, potholes and other diseases, CCD cameras are used at home and abroad to take pictures of the whole road condition, and image processing is performed to give road surface diseases

The amount of data is too large to be processed in real time, the post-processing workload is heavy, and there is still a large workload of manual interpretation, which is highly dependent on the lighting conditions

Moreover, the three-dimensional shape and quantitative cross-sectional data of the deformation and congestion of the whole lane of the pavement cannot be given.

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