Triple-Surface Structure Extraction and Fitting for Control Point Positioning in LiDAR Point Clouds
Pages 136 - 139
Abstract
LiDAR technology, which is an important approach for capturing highly accurate geospatial information at large scale, has been rapidly developed in recent decades. The accuracy of laser ranging may achieve 2 to 3 cm under ideal conditions. However, this accuracy level cannot support the extremely high engineering scale mapping, such as railroad corridor mapping. In this paper, we propose a novel approach to decrease the navigation errors in the point clouds. The method is based on extracting and fitting the control point on the structure composed of three surfaces. This paper describes the LiDAR target design and the target identification algorithm. A detailed performance analysis is also given.
References
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M. Renslow, 2005. The status of LiDAR today and future directions. In Proceedings of the 3D Mapping from InSAR and LiDAR Workshop (ISPRS WG I/2, Banff, Canada, June 07--10, 2005). pages 2.
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E. P. Baltsavias, 1999. Airborne laser scanning: basic relations and formulas. ISPRS Journal of Photogrammetry and RemoteSensing, (vol. 54, 1999), pages 199--214.
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T. Schenk, 2001. Modeling and analyzing systematic errors in airborne laser scanners. Technical Notes in Photogrammetry. The Ohio State University, Columbus, USA. (vol. 19, 2001).
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Csanyi N, Toth C., Grejner-Brzezinska D. and Ray J., 2005. Improving LiDAR data accuracy using LiDAR-specific ground targets. In ASPRS Annual Conference (Baltimore, MD, March 7-11, 2005).
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N. Csanyi and C. K. Toth, 2007. Improvement of LiDAR data accuracy using LiDAR-specific ground targets. Photogrammetric engineering and remote sensing, (vol. 73, 2007), pages 385.
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C. Toth, E. Paska, and D. Brzezinska, 2008. Using road pavement markings as ground control for LiDAR data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, (vol. 37, 2008), pages 189--195.
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Index Terms
- Triple-Surface Structure Extraction and Fitting for Control Point Positioning in LiDAR Point Clouds
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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