Monocular camera-based road pavement pit damage automatic extraction method
A monocular camera and road pavement technology, which is applied in the field of automatic extraction of road surface pothole damage based on monocular camera, can solve the problems of lack of promotion conditions, inability to recognize the depth of potholes by manual recognition scheme, and low recognition efficiency. Reduce manual intervention, improve recognition efficiency and accuracy, and improve the effect of accuracy
Active Publication Date: 2020-06-12
交信北斗科技有限公司 +1
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Problems solved by technology
The artificial recognition scheme cannot recognize the depth of potholes, and the recognition efficiency is low
This is not suitable for promotion in the field of road maintenance
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[0031] The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0032] The present invention provides a method for automatically extracting road surface potholes and damages based on a monocular camera. The scheme adopts a monocular camera to obtain an image of the road surface, and extracts data related to road surface potholes from the grayscale information in the image, such as figure 1 As shown, the method includes the following steps:
[0033] Step 1. Stitching the images extracted by the monocular camera.
[0034] Firstly, the positions of multiple adjacent images need to be corrected so that the images are connected correctly. Assume that the spliced image obtained after splicing two adjacent images has a height of H=2048 pixels, a width of W=4096 pixels, the splicing location is at W / 2=2048 pixels, and the precision is 1mm per pixel. When correcting the image, the method in this step can be used for the sit...
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The invention discloses a monocular camera-based road pavement pit damage automatic extraction method, which comprises the following steps of: determining the fluctuation degree of a pavement pit according to a pixel gray value in an image so as to obtain a pit position; aiming at the pavement cross section represented by each row of pixels at the pit position, fitting a pavement cross section curve by taking the position of the pixel in the row as x and the pixel gray value as y; dividing the road surface cross section curve into a left part, a middle part and a right part, and respectively solving the maximum difference values of the highest points B, A and C of the three parts, straight lines AB and AC and the road surface cross section curve on the y axis as the depth data of the roadsurface cross section potholes; and solving depth data for all pavement cross sections at the same pit position, wherein the maximum depth is the pit depth. The invention further provides a pavement cross section calculation method, a pavement crack denoising method and an image splicing method under bumpy dislocation. The method automatically extracts the road surface pothole damage information,reduces the manual intervention, and improves the recognition efficiency and accuracy.
Description
technical field [0001] The invention relates to the technical field of road maintenance, in particular to a method for automatically extracting road potholes and damages based on a monocular camera. Background technique [0002] In recent years, the construction of high-grade highways in my country has developed rapidly. After the expressway is completed, the important content of the work is maintenance and management. Due to the rapid growth of traffic flow brought about by the rapid development of the national economy, the increase of heavy-duty vehicles, especially the widespread phenomenon of severe overloading, has led to the frequent occurrence of early damage to the expressways built in recent years. Maintenance work adds to the stress. [0003] As more and more new roads are put into use, how to quickly digitally collect and manage existing road assets, and how to conduct real-time detection and maintenance management of road surfaces has become a major problem tha...
Claims
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IPC IPC(8): G06K9/00G06K9/40G06T3/40G06T7/62G06T7/73G01N21/88G01B11/22G01B11/28G01C21/16G01S19/47
CPCG06T3/4038G06T7/62G06T7/73G01N21/8851G01B11/22G01B11/28G01C21/165G01S19/47G01N2021/8887G01N2021/8874G06V20/00G06V10/30Y02A30/60
Inventor 丁朋辉吴海乐李晶刘建郭晓明蔡磊磊陈扬冯亮王恩泉桂敏
Owner 交信北斗科技有限公司