3D B-spline curve fitting with MMS image features of road lines

Ren Yu Li, Chia Yu Hsieh, Yi Hsing Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

B-spline fitting is a technology of fitting a curve with a set of points which scatter along a line or a curve in 2D or 3D space. In this paper, we use B-spline to represent road lines in images of 36-pair Mobile Mapping System (MMS) image sequences, and road line information can be collected rapidly and cost-effectively. Edge detection and template matching are used to extract data points on the target road lines, and multi-image collinearity is used to determine 3D data point coordinates. Least-squares B-spline curve fits in 2D and 3D spaces, and it is used to detect and remove blunders. It is an automatic procedure of road line extraction, due to results can provide information for recursive processes. The results show that our algorithm can successfully extract 3D road lines.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1895-1900
Number of pages6
Publication statusPublished - 2009 Dec 1
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Li, R. Y., Hsieh, C. Y., & Tseng, Y. H. (2009). 3D B-spline curve fitting with MMS image features of road lines. In 30th Asian Conference on Remote Sensing 2009, ACRS 2009 (pp. 1895-1900). (30th Asian Conference on Remote Sensing 2009, ACRS 2009; Vol. 3).