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

Real-Moreno, Oscar; Castro-Toscano, Moisés J.; Rodrizuez-Ouinonez, Julio C.; Hernández-Balbuena, Daniel; Flores-Fuentes, Wendy; Rivas-López, Moisés

doi:10.1109/iecon.2018.8592804

Cited by 13 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, the authors of the present work have dedicated many years to 3D optical laser rotational scanning systems [3][4][5][6][7][8][9][10][11], and we have confirmed that our laser scanners, by default, naturally decrease their uncertainty, noise, and bias influence, and that their energetic losses and battery lifetime increase when operating in complete darkness. At the same time, in complete darkness, when traditional optical devices based on cameras of any type (APS, CMOS, CCD, omnidirectional fisheye, etc.)…”

Section: Introductionsupporting

confidence: 74%

Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection

Sepulveda-Valdez,

Sergiyenko,

Tyrsa

et al. 2024

Mathematics

Self Cite

View full text Add to dashboard Cite

This paper introduces an autonomous robot designed for in-pipe structural health monitoring of oil/gas pipelines. This system employs a 3D Optical Laser Scanning Technical Vision System (TVS) to continuously scan the internal surface of the pipeline. This paper elaborates on the mathematical methodology of 3D laser surface scanning based on dynamic triangulation. This paper presents the mathematical framework governing the combined kinematics of the Mobile Robot (MR) and TVS. It discusses the custom design of the MR, adjusting it to use of robustized mathematics, and incorporating a laser scanner produced using a 3D printer. Both experimental and theoretical approaches are utilized to illustrate the formation of point clouds during surface scanning. This paper details the application of the simple and robust mathematical algorithm RANSAC for the preliminary processing of the measured point clouds. Furthermore, it contributes two distinct and simplified criteria for detecting defects in pipelines, specifically tailored for computer processing. In conclusion, this paper assesses the effectiveness of the proposed mathematical and physical method through experimental tests conducted under varying light conditions.

show abstract

Section: Introductionsupporting

confidence: 74%

Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection

Sepulveda-Valdez,

Sergiyenko,

Tyrsa

et al. 2024

Mathematics

Self Cite

View full text Add to dashboard Cite

show abstract

“…For short away distance, the limitations can be adjusted by the implementation of machine learning strategies through measurement correction methods, but for long distances, it is not possible with this configuration due to the photoelectric sensor capacity to perceive the reflected laser signal. 38 It is structured with laser positioning and an optical scanning aperture, to obtain 3D coordinates through laser dynamic triangulation principles, as shown in Figure 3(a), where the (x, y, z) coordinate is calculated by equations ( 3)-( 5) 39,40…”

Section: D Optical Scanning System For Displacement Measurementmentioning

confidence: 99%

Section: D Optical Scanning System For Displacement Measurementmentioning

confidence: 99%

A structural health monitoring method proposal based on optical scanning and computational models

Flores-Fuentes

Alba-Corpus

Sergiyenko

et al. 2022

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

This article proposes a method for continuous bridge displacement monitoring combining the dynamic triangulation scanning and load estimation by vehicle image recognition. The vehicle–bridge interaction is a non-stationary dynamic process parameter of high relevance to understanding the static instability behavior of bridges. The knowledge of the load on a bridge in the specific time when its structural spatial coordinates are measured allows correlating the bridge displacement with the effect of vehicle–bridge interaction. The evaluation of such correlation is mandatory in order to verify if the observed bridge displacement is due to the nature of its operation or due to it is presenting structural damage. The proposed method is continuous structural health monitoring method, based on the combination of three approaches evaluated at laboratory environment: (1) a three-dimensional optical scanning system for displacement measurement, (2) a load measurement system for vehicle–bridge interaction assessment, and (3) a two-measurement systems data correlation; to be implemented in bridges at a real environment to collect their historical behavior. Overall, for each approach, the measurement systems’ principles, the laboratory experimental methodology followed, and results obtained are presented.

show abstract

“…1. Скорость обнаружения объекта с использованием YOLO V3 [5] [7][8][9][10][11]. Однако для интеграции всего этого в единую систему, которая позволяет мобильному устройству двигаться к цели, требуется знание различных сценариев.…”

Section: моделированиеunclassified

Intelligent Automatic Object Tracking Method by Integration of Laser Scanner System and INS

Родригес-Киньонес¹

2021

Proceedings of ISP RAS

View full text Add to dashboard Cite

In the last years, autonomous vehicle navigation has had considerable improvements; however, this technology has not yet been able to effectively be integrated with mobile systems that work inside buildings, houses or without the influence of absolute references such as GPS. It is for this reason that this paper provides a methodological proposal that allows the integration of the use of object detection methods such as YOLO (You Only Look Once) or R-CNN (Region Convolutional Neural Networks), with laser scanning systems for the measurement of spatial coordinates and an INS system to obtain spatial positioning through relative references. This method integrates the principle of dynamic triangulation and the methodological proposal IKZ (Inertial Navigation with Kalman and Zero Update) that allow to obtain acceptable mobile autonomy times in which the sector of interest is re-scanned.

show abstract

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

Cited by 13 publications

References 15 publications

Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection

Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection

A structural health monitoring method proposal based on optical scanning and computational models

Intelligent Automatic Object Tracking Method by Integration of Laser Scanner System and INS

Contact Info

Product

Resources

About