Turning mobile laser scanning points into 2D/3D on-road object models: Current status

Author

Zongliang Zhang;Ming Cheng;Xinqu Chen;Menglan Zhou;Yifei Chen;Jonathan Li;Hongshan Nie

Author_Institution

Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian 361005, China

fYear

2015

fDate

7/1/2015 12:00:00 AM

Firstpage

3524

Lastpage

3527

Abstract

Traditional road surveying methods rely largely on in-situ measurements, which are time consuming and labor intensive. Recent Mobile Laser Scanning (MLS) techniques enable collection of road data at a normal driving speed. However, extracting required information from collected MLS data remains a challenging task. This paper focuses on examining the current status of automated on-road object extraction techniques from 3D MLS points over the last five years. Several kinds of on-road objects are included in this paper: curbs and road surfaces, road markings, pavement cracks, as well as manhole and sewer well covers. We evaluate the extraction techniques according to their method design, degree of automation, precision, and computational efficiency. Given the large volume of MLS data, to date most MLS object extraction techniques are aiming to improve their precision and efficiency.

Keywords

"Roads","Three-dimensional displays","Mobile communication","Data mining","Remote sensing","Feature extraction","Laser radar"

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International

ISSN

2153-6996

Electronic_ISBN

2153-7003

Type

conf

DOI

10.1109/IGARSS.2015.7326581

Filename

7326581