Next Article in Journal
Experimental Investigation and Machine Learning-Based Prediction of Cutting Force, Vibration, and Bending Moment During Cortical Bone Milling
Previous Article in Journal
YOLO-Based Deep Learning Pipeline for Detecting Nutrient Deficiency Symptoms in Roselle (Hibiscus sabdariffa L.)
Previous Article in Special Issue
Spatial All-Azimuth Versus Single-Sided Planar Identifiers for Warehouse Robot Navigation: A Factorial Simulation Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Low-Cost Platform for Measuring Environmental and Geographic Positioning Data in Unmanned Vehicles: A Device and Computing Integration Framework

by
Gerardo Aguayo Núñez
1,
Jorge Aurelio Brizuela Mendoza
1,*,
Julio C. Rosas-Caro
2,
Jesse Yoe Rumbo Morales
3,
Abraham Jair López Villavazo
1,
Alan Francisco Pérez Vidal
3 and
Gerardo Ortiz Torres
3
1
Centro Universitario del Sur, Universidad de Guadalajara, Ciudad Guzmán 49000, Mexico
2
Facultad de Ingenieria, Universidad Panamericana, Zapopan 45010, Mexico
3
Centro Universitario de los Valles, Universidad de Guadalajara, Ameca 46600, Mexico
*
Author to whom correspondence should be addressed.
Eng 2026, 7(9), 473; https://doi.org/10.3390/eng7090473 (registering DOI)
Submission received: 6 July 2026 / Revised: 14 August 2026 / Accepted: 10 September 2026 / Published: 12 September 2026

Abstract

Unmanned vehicles require reliable embedded systems that can acquire, process, and transmit operational data in real time to support monitoring, navigation, and decision-making. This paper presents a modular Logic Computer architecture designed for telemetry and system supervision. The proposal integrates embedded hardware to provide sensor acquisition, wireless telemetry transmission, and fault reporting within a lightweight, scalable architecture. Experimental results demonstrate the proposed framework’s effectiveness and suitability for unmanned vehicle applications. Furthermore, the results provide insight into data transmission analysis in terms of technical aspects such as latency, jitter, throughput, and packet loss within a low-power-consumption framework. Based on these metrics, a comparison with existing solutions is presented, highlighting differences, drawbacks, and advantages. Tests conducted in the field also provide environmental and geographic positioning data results to demonstrate performance. Consequently, the presented prototype offers strong scalability and performance advantages over current systems, driven by its open-source architecture and high-bandwidth data transmission.
Keywords: logic computer; telemetry; packet structure; SYSLOG; Raspberry Pi; Arduino logic computer; telemetry; packet structure; SYSLOG; Raspberry Pi; Arduino

Share and Cite

MDPI and ACS Style

Núñez, G.A.; Mendoza, J.A.B.; Rosas-Caro, J.C.; Morales, J.Y.R.; Villavazo, A.J.L.; Vidal, A.F.P.; Torres, G.O. A Low-Cost Platform for Measuring Environmental and Geographic Positioning Data in Unmanned Vehicles: A Device and Computing Integration Framework. Eng 2026, 7, 473. https://doi.org/10.3390/eng7090473

AMA Style

Núñez GA, Mendoza JAB, Rosas-Caro JC, Morales JYR, Villavazo AJL, Vidal AFP, Torres GO. A Low-Cost Platform for Measuring Environmental and Geographic Positioning Data in Unmanned Vehicles: A Device and Computing Integration Framework. Eng. 2026; 7(9):473. https://doi.org/10.3390/eng7090473

Chicago/Turabian Style

Núñez, Gerardo Aguayo, Jorge Aurelio Brizuela Mendoza, Julio C. Rosas-Caro, Jesse Yoe Rumbo Morales, Abraham Jair López Villavazo, Alan Francisco Pérez Vidal, and Gerardo Ortiz Torres. 2026. "A Low-Cost Platform for Measuring Environmental and Geographic Positioning Data in Unmanned Vehicles: A Device and Computing Integration Framework" Eng 7, no. 9: 473. https://doi.org/10.3390/eng7090473

APA Style

Núñez, G. A., Mendoza, J. A. B., Rosas-Caro, J. C., Morales, J. Y. R., Villavazo, A. J. L., Vidal, A. F. P., & Torres, G. O. (2026). A Low-Cost Platform for Measuring Environmental and Geographic Positioning Data in Unmanned Vehicles: A Device and Computing Integration Framework. Eng, 7(9), 473. https://doi.org/10.3390/eng7090473

Article Metrics

Back to TopTop