DocumentCode :
142803
Title :
Earthwork volumes estimation in asphalt pavement reconstruction using a mobile laser scanning systerm
Author :
Fukai Jia ; Li, Jonathan ; Cheng Wang ; Yongtao Yu ; Ming Cheng ; Dawei Zai
Author_Institution :
Sch. of Inf. Sci. & Eng., Xiamen Univ., Xiamen, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
922
Lastpage :
925
Abstract :
This paper presents a novel method for estimating earthwork volumes in asphalt pavement reconstruction using a mobile laser scanning (MLS) system. First, based on the static targets, this method registers two point cloud datasets into the same coordinate system, which respectively are acquired in the reconstructing road before and after asphalting. Next, road surface points are detected from each point cloud using a curb-based method, and further divided into a set of blocks. Afterwards, the blocks are perpendicularly partitioned into grids, where two surface features are extracted using the RANSAC. Finally, the volume of each grid is calculated according to these two surface features. The proposed algorithm has been tested on two sets of point clouds acquired by a RIEGL VMX-450 MLS system in the reconstructing road before and after asphalting. The results demonstrate the accuracy and efficiency of the proposed algorithm in estimating earthwork volumes.
Keywords :
asphalt; civil engineering computing; computer graphics; feature extraction; image reconstruction; image registration; mobile computing; object detection; roads; traffic engineering computing; RANSAC; RIEGL VMX-450 MLS system; asphalt pavement reconstruction; curb-based method; earthwork volumes estimation; mobile laser scanning system; point cloud; road reconstruction; road surface point detection; road surface registration; surface features extraction; Asphalt; Biological system modeling; Feature extraction; Mathematical model; Roads; Surface reconstruction; Three-dimensional displays; Mobile laser scanning; asphalt pavement reconstruction; earthwork volume estimation; point cloud; road surface detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946576
Filename :
6946576
Link To Document :
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