交通技术

Vol.8 No.1 (January 2019)

线结构光扫描的路面坑槽三维检测
3D Detection of Pavement Pothole Based on Line Structured Light

 

作者:

宋席发 :交通运输部公路科学研究院,北京

 

关键词:

激光技术坑槽检测线结构光三维检测灰度阈值法Laser Techniques Pothole Detection Line Structured Light 3D Detection Gray Threshold Method

 

摘要:

坑槽严重影响行车安全,对其进行有效检测至关重要。三维检测能解决二维检测阴影条件下难以识别坑槽问题。本文首先针对开发的线结构光的路面坑槽三维检测系统,提出了基于三维数据的高度突变识别方法。并将其与灰度阈值方法、人工智能方法进行了对比分析。实验得出,本文的高度数据突变方法在识别效果上跟灰度阈值方法相近,耗时稍长;识别效果优于人工智能方法且耗时短,对坑槽自动识别的工程化应用具有较大意义。

Pothole seriously affects driving safety, so it is important to detect the pothole effectively. 3D de-tection can solve the problem of difficulty to identify the pothole in 2D images under uneven illumination or shadow conditions. In this paper, the acquisition principle and calibration of 3D detection system designed by us are presented. A method based on 3D data pothole detection is proposed. It is compared with the gray threshold method and the artificial intelligence method. The experimental results show that the proposed method is similar to the gray threshold method in recognition effect and takes a little longer time, but the recognition effect is better than the artificial intelligence method and the time-consuming is shorter, showing great practicability of 3D detection method for pothole.

文章引用:

宋席发 (2019) 线结构光扫描的路面坑槽三维检测。 交通技术, 8, 27-37. doi: 10.12677/OJTT.2019.81004

 

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