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Reconstruction of Road Surface Features by Terrestrial Mobile LiDAR Technique
Date Issued
2014
Date
2014
Author(s)
Tsai, Meng-Ju
Abstract
The advantage of Mobile Mapping System lies in its high mobility and efficiency in collecting massive 3D spatial information. Therefore, it has been applies in many fields of engineering frequently. As urban roads expand over time, road surface features have become more complicated and critical to driving safety. In addition, road surface features are also applied to the fields of autonomous vehicle system, 3D cyber city construction, and navigation information renewal. Therefore, constructing a road surface feature database by an automatic process is especially important. In this study, a fully automatic reconstruction of road surface features based on terrestrial mobile LiDAR technique is proposed. The complete analysis steps are developed and an experiment has been carried out using real LiDAR dataset in a case study. The results revealed that an efficient road surface reconstruction can be achieved using the proposed approach, giving a generally 90% classification accuracy. Finally, through the error budget analysis, the uncertainty associated with each analyzing stage can be explicitly assessed. As a consequence, the system configuration can be further optimized and the resulting quality of the proposed approach can be assured.
Subjects
車載光達系統
路面特徵資料庫
模板匹配
分類品質指標
誤差預算分析
Type
thesis
File(s)
No Thumbnail Available
Name
ntu-103-R01521118-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):c9ac73d0a8f926f273161dce7b8ad454