This paper describes latest research by the authors in the development of advanced perception systems and methods for intelligent agricultural vehicles. Innovative results in the context of terrain estimation and in-field phenotyping, based on multi-sensor devices integrated on-board mobile robotic platforms, are presented. Aim of this research is to facilitate operations on a narrow scale that may be useful to increase precision during farming operations, as well as to improve the level of driving automation of vehicles by providing fast automated safety responses, traversability assessment and controlled traffic farming in general.

Advanced Perception Systems for Intelligent Agricultural Vehicles

Annalisa Milella;Roberto Marani;Antonio Petitti;Grazia Cicirelli;
2019

Abstract

This paper describes latest research by the authors in the development of advanced perception systems and methods for intelligent agricultural vehicles. Innovative results in the context of terrain estimation and in-field phenotyping, based on multi-sensor devices integrated on-board mobile robotic platforms, are presented. Aim of this research is to facilitate operations on a narrow scale that may be useful to increase precision during farming operations, as well as to improve the level of driving automation of vehicles by providing fast automated safety responses, traversability assessment and controlled traffic farming in general.
2019
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
agricultural robotics
terrain estimation
in-field phenotyping
intelligent vehicles
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/361814
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