Litcius/Paper detail

Sensor Integration in a Forestry Machine

Tiago Pereira, Tiago Gameiro, Carlos Viegas, Victor D. N. Santos, N. M. Fonseca Ferreira

2023Sensors11 citationsDOIOpen Access PDF

Abstract

This paper presents the integration of multimodal sensor systems for an autonomous forestry machine. The utilized technology is housed in a single enclosure which consolidates a set of components responsible for executing machine control actions and comprehending its behavior in various scenarios. This sensor box, named Sentry, will subsequently be connected to a forestry machine from MDB, model LV600 PRO. The article outlines previous work in this field and then details the integration and operation of the equipment, integrated into the forest machine, providing descriptions of the adopted architecture at both the hardware and software levels. The gathered data enables the assessment of the forestry machine's orientation and position based on the information collected by the sensors. Finally, practical experiments are presented to demonstrate the system's behavior and to analyze the methods to be employed for autonomous navigation, thereby assessing the performance of the established architecture. The novel aspects of this work include the physical and digital integration of a multimodal sensor system on a forestry machine, its use in a real case scenario, namely, forest vegetation removal, and the strategies adopted to improve the machine localization and navigation performance on unstructured environments.

Topics & Concepts

Computer scienceField (mathematics)SoftwareArchitectureSet (abstract data type)Work (physics)Embedded systemArtificial intelligenceSystems engineeringEngineeringOperating systemMathematicsMechanical engineeringArtProgramming languagePure mathematicsVisual artsRobotics and Sensor-Based LocalizationFood Supply Chain TraceabilitySmart Agriculture and AI