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Wi-Fi and Satellite-Based Location Techniques for Intelligent Agricultural Machinery Controlled by a Human Operator

Opened Access Wi-Fi and Satellite-Based Location Techniques for Intelligent Agricultural Machinery Controlled by a Human Operator

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Autor: Drenjanac, Domagoj
Tomic, Slobodanka
Agüera, Juan
Pérez Ruiz, Manuel
Coordinador/Director: Pajares Martinsanz, Gonzalo
Departamento: Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos
Universidad de Sevilla. Departamento de Ciencias Agroforestales
Fecha: 2014
Publicado en: Sensors, 2014 (14), 19767-19784.
Tipo de documento: Artículo
Resumen: In the new agricultural scenarios, the interaction between autonomous tractors and a human operator is important when they jointly perform a task. Obtaining and exchanging accurate localization information between autonomous tractors and the human operator, working as a team, is a critical to maintaining safety, synchronization, and efficiency during the execution of a mission. An advanced localization system for both entities involved in the joint work, i.e., the autonomous tractors and the human operator, provides a basis for meeting the task requirements. In this paper, different localization techniques for a human operator and an autonomous tractor in a field environment were tested. First, we compared the localization performances of two global navigation satellite systems’ (GNSS) receivers carried by the human operator: (1) an internal GNSS receiver built into a handheld device; and (2) an external DGNSS receiver with centimeter-level accuracy. To investigate autonomo...
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Cita: Drenjanac, D., Tomic, S., Agüera, J. y Pérez Ruiz, M. (2014). Wi-Fi and Satellite-Based Location Techniques for Intelligent Agricultural Machinery Controlled by a Human Operator. Sensors, 2014 (14), 19767-19784.
Tamaño: 2.297Mb
Formato: PDF

URI: http://hdl.handle.net/11441/42927

DOI: 10.3390/s141019767

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