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Sensors 2017, 17(1), 70; doi:10.3390/s17010070

Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping

1,2
,
3,4,* , 5,6,* , 1,3,5
and
2
1
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Research Center of Remote Sensing in Public Security, People’s Public Security University of China, Beijing 100038, China
3
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
4
RSISE, Australian National University, Canberra, ACT 2600, Australia
5
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
6
Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 20 October 2016 / Revised: 18 December 2016 / Accepted: 26 December 2016 / Published: 31 December 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [9098 KB, uploaded 31 December 2016]   |  

Abstract

For multi-sensor integrated systems, such as the mobile mapping system (MMS), data fusion at sensor-level, i.e., the 2D-3D registration between an optical camera and LiDAR, is a prerequisite for higher level fusion and further applications. This paper proposes a line-based registration method for panoramic images and a LiDAR point cloud collected by a MMS. We first introduce the system configuration and specification, including the coordinate systems of the MMS, the 3D LiDAR scanners, and the two panoramic camera models. We then establish the line-based transformation model for the panoramic camera. Finally, the proposed registration method is evaluated for two types of camera models by visual inspection and quantitative comparison. The results demonstrate that the line-based registration method can significantly improve the alignment of the panoramic image and the LiDAR datasets under either the ideal spherical or the rigorous panoramic camera model, with the latter being more reliable. View Full-Text
Keywords: mobile mapping system; LiDAR point cloud; 2D-3D registration; panoramic sensor model mobile mapping system; LiDAR point cloud; 2D-3D registration; panoramic sensor model
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Cui, T.; Ji, S.; Shan, J.; Gong, J.; Liu, K. Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping. Sensors 2017, 17, 70.

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