基于三维技术的道路综合检测车
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摘要
研发了基于三维检测技术的道路综合检测车,该检测车可同时开展路面损坏、车辙、平整度、纹理、道路景观等检测任务。路面损坏模块能采集路面灰度图像和横断面三维高程数据并自动识别裂缝、车辙、坑槽等常见病害;独创性地研发了非惯性平整度检测模块,可不受车速变化、车辆振动等因素干扰,准确采集道路纵断面高程并计算国际平整度指数(IRI),当模块纵向安装时还能精确采集道路横断面纹理数据并导出平均断面深度(MPD)。此外,该模块还可检测混凝土路面的错台情况。三维立体相机和激光雷达(LIDAR)构成的道路景观图像模块可采集道路周边环境图像和三维激光点云数据,以实现道路资产的精细化管理。
Thispaper studies on a road inspection vehicle based on 3D technology. It can inspect road distress,rut,roughness,texture,environment image at the same time. Integrated 3D distress and transverse profile system can automatically recognize cracks,ruts,potholes based on the transverse profile from each scanned line. Innovative integrated road profiler and texture system can measure ride quality and texture. When installing transversely,it can measure the elevation of road and calculate IRI( International Roughness Index) free from speed changes and vehicle vibration disturbing. When installing longitudinally,it can measure road texture and get MPD( Mean Profile Depth). Besides,faulting of cement concrete slabs can also be inspected. LIDAR( Light Detection And Ranging) and surrounding 3 D image system can get 3D pictures and cloud-based matrix of road surroundings to conduct road asset management precisely.
Thispaper studies on a road inspection vehicle based on 3D technology. It can inspect road distress,rut,roughness,texture,environment image at the same time. Integrated 3D distress and transverse profile system can automatically recognize cracks,ruts,potholes based on the transverse profile from each scanned line. Innovative integrated road profiler and texture system can measure ride quality and texture. When installing transversely,it can measure the elevation of road and calculate IRI( International Roughness Index) free from speed changes and vehicle vibration disturbing. When installing longitudinally,it can measure road texture and get MPD( Mean Profile Depth). Besides,faulting of cement concrete slabs can also be inspected. LIDAR( Light Detection And Ranging) and surrounding 3 D image system can get 3D pictures and cloud-based matrix of road surroundings to conduct road asset management precisely.
引文
[1]2016年交通运输行业发展统计公报[DB/OL].http://zizhan.mot.gov.cn/zfxxgk/bnssj/zhghs/201704/t20170417_2191106.html
[2]JTG H20-2007,公路技术状况评定标准[S].
[3]Jiang M,Gielen G,Deng B,et al.A fast learning algorithm for time-delay neural networks[J].Information Sciences,2002,148(1-4):27-39.
[4]赵怀志,李强,程珊珊.公路技术状况评定指南[J].北京:交通部公路科学研究院公路养护管理研究中心,2008.
[5]张德津,李清泉.公路路面快速检测技术发展综述[J].测绘地理信息,2015(01):1-8.
[6]贺安之,徐友仁,贺宁.高速公路路面状况的光学智能检测与信息处理[J].光电子·激光,2002,13(12):1281-1284.
[7]李强,潘玉利.路面快速检测技术与设备研究进展及分析[J].公路交通科技,2005(09):35-39.
[8]李清泉,毛庆洲.车载道路快速检测与测量技术研究[J].交通信息与安全,2009,27(1):7-10.
[9]马荣贵,宋宏勋,来旭光.激光路面平整度检测系统[J].长安大学学报(自然科学版),2006(02):38-41.
[10]Wang K C,Gong W.Real-time automated survey system of pavement cracking in parallel environment[J].Journal of infrastructure systems,2005,11(3):154-164.
[11]Huang Y,Xu B.Automatic inspection of pavement cracking distress[J].Journal of Electronic Imaging,2006,15(1):013017.
[2]JTG H20-2007,公路技术状况评定标准[S].
[3]Jiang M,Gielen G,Deng B,et al.A fast learning algorithm for time-delay neural networks[J].Information Sciences,2002,148(1-4):27-39.
[4]赵怀志,李强,程珊珊.公路技术状况评定指南[J].北京:交通部公路科学研究院公路养护管理研究中心,2008.
[5]张德津,李清泉.公路路面快速检测技术发展综述[J].测绘地理信息,2015(01):1-8.
[6]贺安之,徐友仁,贺宁.高速公路路面状况的光学智能检测与信息处理[J].光电子·激光,2002,13(12):1281-1284.
[7]李强,潘玉利.路面快速检测技术与设备研究进展及分析[J].公路交通科技,2005(09):35-39.
[8]李清泉,毛庆洲.车载道路快速检测与测量技术研究[J].交通信息与安全,2009,27(1):7-10.
[9]马荣贵,宋宏勋,来旭光.激光路面平整度检测系统[J].长安大学学报(自然科学版),2006(02):38-41.
[10]Wang K C,Gong W.Real-time automated survey system of pavement cracking in parallel environment[J].Journal of infrastructure systems,2005,11(3):154-164.
[11]Huang Y,Xu B.Automatic inspection of pavement cracking distress[J].Journal of Electronic Imaging,2006,15(1):013017.