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

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.