Abstract
Due to the road safety problem is becoming more and more serious recent years, existing road safety assessment by using automatic method is necessary. Meanwhile, since the pole-like objects have large effect on road safety and are in high demand as facilities to be managed, the automatic pole-like objects extraction is becoming a hot issue. As a result, a robust, quick and automatic pole-like object detection algorithm in MLS data is proposed in this paper. Two datasets are tested to show performance of the proposed algorithm, it demonstrates that it is feasible to detect tree with an overall accuracy of over 92% and other pole-like object of 72% in dataset A and 82% of tree points and 75% of other pole points in dataset B.
| Original language | English |
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| Title of host publication | Workshop Laser Scanning 2013 |
| Subtitle of host publication | 11-13 November 2013, Antalya, Turkey |
| Editors | M. Scaioni, R.C. Lindenbergh, S. Oude Elberink, D. Schneider, F. Pirotti |
| Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
| Pages | 163-168 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | ISPRS Workshop Laser Scanning 2013 - Antalya, Turkey Duration: 11 Nov 2013 → 13 Nov 2013 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/index.html (Full text Open Access proceedings) |
Publication series
| Name | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Publisher | ISPRS |
| Volume | II-5/W2 |
| ISSN (Print) | 2194-9042 |
Conference
| Conference | ISPRS Workshop Laser Scanning 2013 |
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| Country/Territory | Turkey |
| City | Antalya |
| Period | 11/11/13 → 13/11/13 |
| Other | ISPRS Annals Volume II-5/W2 |
| Internet address |
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Keywords
- Laser scanning
- LIDAR
- Point cloud
- Segmentation
- Classification
- Processing
- Algorithm