Nonmetric Camera Calibration for Underwater Laser Scanning System

2007 ◽  
Vol 32 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Wang Chau-Chang ◽  
Cheng Min-Shine
1991 ◽  
Author(s):  
Roswell W. Austin ◽  
Seibert Q. Duntley ◽  
Richard L. Ensminger ◽  
Theodore J. Petzold ◽  
Raymond C. Smith

Author(s):  
M. Bleier ◽  
J. van der Lucht ◽  
A. Nüchter

Abstract. This paper presents an underwater laser scanning system and GNSS based trajectory estimation system for scanning from a surface vessle in shallow water. The system has an above-the-water and an underwater component. Above-the-water two low-cost multiband GNSS receivers with an antenna baseline of one meter are used for RTK positioning with heading. The full 6-DOF is estimated by fusing the satellite navigation data with a MEMS-based INS. The 3D data is captured in water using a structured light scanner consisting of a low-light underwater camera and a green cross line laser projector. We describe the development of the system and employed hardware components. We show results of scanning a large test object in a water tank acquired by from a tripod with a motorized yaw axis. Additionally, we demonstrate first results of mobile mapping from a floating platform. We evaluate the performance of the system by measuring the 6-DOF trajectory with an external optical tracking system. Additionally, we assess the quality of the created point cloud using reference objects placed in the scene.


2019 ◽  
Vol 58 (08) ◽  
pp. 1 ◽  
Author(s):  
Liangliang Xie ◽  
Xu Zhang ◽  
Dawei Tu ◽  
Guoliang Xiao ◽  
Pan Jin ◽  
...  

Author(s):  
J. van der Lucht ◽  
M. Bleier ◽  
F. Leutert ◽  
K. Schilling ◽  
A. Nüchter

In this work we look at 3D acquisition of semi-submerged structures with a triangulation based underwater laser scanning system. The motivation is that we want to simultaneously capture data above and below water to create a consistent model without any gaps. The employed structured light scanner consist of a machine vision camera and a green line laser. In order to reconstruct precise surface models of the object it is necessary to model and correct for the refraction of the laser line and camera rays at the water-air boundary. We derive a geometric model for the refraction at the air-water interface and propose a method for correcting the scans. Furthermore, we show how the water surface is directly estimated from sensor data. The approach is verified using scans captured with an industrial manipulator to achieve reproducible scanner trajectories with different incident angles. We show that the proposed method is effective for refractive correction and that it can be applied directly to the raw sensor data without requiring any external markers or targets.


2018 ◽  
Vol 50 (3) ◽  
pp. 310-322 ◽  
Author(s):  
Xiping Wang ◽  
Ed Thomas ◽  
Feng Xu ◽  
Yunfei Liu ◽  
Brian K Brashaw ◽  
...  

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