Automatic Inventory of Road Cross-Sections from Mobile Laser Scanning System

被引:65
作者
Holgado-Barco, Alberto [1 ]
Riveiro, Belen [2 ]
Gonzalez-Aguilera, Diego [1 ]
Arias, Pedro [3 ]
机构
[1] Univ Salamanca, Dept Cartog & Land Engn, Higher Polytech Sch Avila, Hornos Caleros, Avila, Spain
[2] Univ Vigo, Sch Ind Engn, Dept Mat Engn Appl Mech & Construct, Vigo, Spain
[3] Univ Vigo, Sch Min Engn, Dept Nat Resources & Environm Engn, Vigo, Spain
关键词
EXTRACTION; MARKINGS; DELINEATION;
D O I
10.1111/mice.12213
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article aims to automatically obtain the geometrical inventory of road cross-sections (i.e., number of lanes, width of the roadway, width of the shoulders, width of the lanes, superelevation) using a mobile laser scanning (MLS) system. Because of the large amount of data captured by the MLS, we have developed a methodology that is based on a process of segmentation, classification, and extraction, which allows us to determine the geometrical cross-section parameters. The process was validated with real data from motorways, and satisfactory results were obtained in the analyzed scenarios.
引用
收藏
页码:3 / 17
页数:15
相关论文
共 35 条
[1]  
[Anonymous], 2012, HIGHW DES MAN
[2]  
[Anonymous], 2010, I PESQ ROD IPR PUBL, V743
[3]  
[Anonymous], 1987, B OF EST, V185
[4]  
[Anonymous], 2012, THESIS NATL I TECHNO
[5]  
[Anonymous], 2003, TRAFF SIGNS MAN 2003
[6]   Recent progress in road and lane detection: a survey [J].
Bar Hillel, Aharon ;
Lerner, Ronen ;
Levi, Dan ;
Raz, Guy .
MACHINE VISION AND APPLICATIONS, 2014, 25 (03) :727-745
[7]  
Belton D., 2006, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, V36, P44
[8]  
Catalogo de la RCE, 2010, INV RED CARR EST
[9]  
Chen Xin., 2009, P 17 ACM SIGSPATIAL, P488
[10]   Improved Floodplain Delineation Method Using High-Density LiDAR Data [J].
Deshpande, Sagar S. .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2013, 28 (01) :68-79