Multi-frame Point Cloud Fusion Method Based on Depth Camera Sensors
Yang Zhongfan,
Wang Xiaogang,
Hou Jing
Issue:
Volume 10, Issue 1, June 2022
Pages:
1-6
Received:
22 December 2021
Accepted:
7 January 2022
Published:
15 January 2022
DOI:
10.11648/j.ijssn.20221001.11
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Views:
Abstract: As a consumer-grade portable depth image data acquisition device, the depth camera is widely used in the field of computer vision, such as slam, autonomous driving, environment perception, etc. However, due to the limitation of the device angle, the complete 3D point cloud of the target cannot be obtained at one time. Point cloud registration can complete the overlap of two frames of point clouds. Therefore, a multi-frame point cloud fusion method based on key points and registration is proposed. First, the point cloud is calculated on the depth map obtained by the depth camera, and then an improved point cloud filtering algorithm based on the normal vector inner cumulus is used to remove the background and noise points. Secondly, four key point detection algorithms and three registration algorithms with different principles are applied to the point cloud data obtained by the depth camera, and the applicable scenarios and limitations of each algorithm are analyzed. Finally, a multi-frame point cloud fusion algorithm is used to splice the point clouds, and the redundant points after splicing are filtered out to obtain a complete point cloud of the object. The experimental verification of the target object using the depth camera shows that the proposed method can obtain the complete point cloud data of the target object robustly.
Abstract: As a consumer-grade portable depth image data acquisition device, the depth camera is widely used in the field of computer vision, such as slam, autonomous driving, environment perception, etc. However, due to the limitation of the device angle, the complete 3D point cloud of the target cannot be obtained at one time. Point cloud registration can c...
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Relationship Identification Between CFRP Impact Damage and Ultrasonic Guided Waves Using 3D Finite Element Simulation
Chenhui Su,
Ting Wang,
Wenchao Zhang,
Hongcheng Cao,
Yunqing Qu
Issue:
Volume 10, Issue 1, June 2022
Pages:
7-15
Received:
4 April 2022
Accepted:
4 May 2022
Published:
8 June 2022
DOI:
10.11648/j.ijssn.20221001.12
Downloads:
Views:
Abstract: The propagation characteristics of Lamb waves in carbon fiber reinforced plastics with low velocity impact (LVI) damage were investigated by numerical simulation. In order to accurately simulate lamb response to the multiple types of damage, a three-dimension finite element model was built. First, various types of damages were obtained by low velocity impact with variety of impact energy on composite plates. Then, Lamb waves are loaded into the composite plate with multiple damages Four sensors are arranged in a diamond shape with the damage as the center. One sensor sends Lamb wave and the other three receive Lamb wave signal to extract the signal containing damage information. Finally, the power spectrum density was introduced to characterize the relationship between lamb waves and damage. The results demonstrate that the evolution law of damage is consistent with the theory and the sensitivity of power spectrum density to damage was verified. This study provides a new in-depth research method for damage detection and analysis.
Abstract: The propagation characteristics of Lamb waves in carbon fiber reinforced plastics with low velocity impact (LVI) damage were investigated by numerical simulation. In order to accurately simulate lamb response to the multiple types of damage, a three-dimension finite element model was built. First, various types of damages were obtained by low veloc...
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