Implementing k-Nearest Neighbor Algorithm on Scanning Aperture for Accuracy Improvement

被引：0

作者：

Real-Moreno, Oscar ^{[1
]}

Castro-Toscano, Moises J. ^{[1
]}

Rodriguez-Quinonez, Julio C. ^{[1
]}

Hernandez-Balbuena, Daniel ^{[1
]}

Flores-Fuentes, Wendy ^{[1
]}

Rivas-Lopez, Moises ^{[2
]}

机构：

[1] Univ Autonoma Baja California, Fac Ingn, Mexicali, Baja California, Mexico

[2] Univ Autonoma Baja California, Inst Ingn, Mexicali, Baja California, Mexico

来源：

IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2018年

关键词：

Laser; Vision System; Scanning Aperture; Dynamic Triangulation; k-Nearest Neighbor; kNN; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Laser vision systems have demonstrated to be useful in applications for autonomous navigation, structural health monitoring, manufacturing, reverse engineering, among others. A variant of these systems are the dynamic triangulation systems, where, these vision systems consist in a positioning laser, a scanning aperture and a fixed distance between them. The positioning laser points the laser beam over the surface to scan and it is detected by the scanning aperture. The purpose of this paper is to present the principle of operation of this system, the disadvantages when taking measures at different distances, and the implementation of the k-nearest neighbor algorithm (kNN) to solve these disadvantages.

引用

页码：3182 / 3186

页数：5

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