activity
20192021
most citedIn-field high throughput grapevine phenotyping with a consumer-grade depth camera

145 citations · 470 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2021★ 10 cited

A Factor Graph-based approach to vehicle sideslip angle estimation

Antonio Leanza, Giulio Reina, Jose-Luis Blanco-Claraco

Sideslip angle is an important variable for understanding and monitoring vehicle dynamics but it lacks an inexpensive method for direct measurement. Therefore, it is typically esti…

cs.CV2021★ 145 cited

In-field high throughput grapevine phenotyping with a consumer-grade depth camera

Annalisa Milella, Roberto Marani, Antonio Petitti +1

Plant phenotyping, that is, the quantitative assessment of plant traits including growth, morphology, physiology, and yield, is a critical aspect towards efficient and effective cr…

cs.RO2021★ 67 cited

Terrain assessment for precision agriculture using vehicle dynamic modelling

Giulio Reina, Annalisa Milella, Rocco Galati

Advances in precision agriculture greatly rely on innovative control and sensing technologies that allow service units to increase their level of driving automation while ensuring…

cs.RO2021★ 125 cited

Ambient awareness for agricultural robotic vehicles

Giulio Reina, Annalisa Milella, Raphael Rouveure +3

In the last few years, robotic technology has been increasingly employed in agriculture to develop intelligent vehicles that can improve productivity and competitiveness. Accurate…

cs.RO2021★ 67 cited

A multi-sensor robotic platform for ground mapping and estimation beyond the visible spectrum

Annalisa Milella, Giulio Reina, Michael Nielsen

Accurate soil mapping is critical for a highly-automated agricultural vehicle to successfully accomplish important tasks including seeding, ploughing, fertilising and controlled tr…

cs.RO2021★ 12 cited

A general framework for modeling and dynamic simulation of multibody systems using factor graphs

José-Luis Blanco-Claraco, Antonio Leanza, Giulio Reina

In this paper, we present a novel general framework grounded in the factor graph theory to solve kinematic and dynamic problems for multi-body systems. Although the motion of multi…

eess.SY2020★ 23 cited

Terrain estimation via vehicle vibration measurement and cubature Kalman filtering

Giulio Reina, Antonio Leanza, Arcangelo Messina

The extent of vibrations experienced by a vehicle driving over natural terrain defines its ride quality. Generally, surface irregularities, ranging from single discontinuities to r…

eess.SY2019★ 21 cited

Mind the ground: A Power Spectral Density-based estimator for all-terrain rovers

Giulio Reina, Antonio Leanza, Annalisa Milella +1

There is a growing interest in new sensing technologies and processing algorithms to increase the level of driving automation towards self-driving vehicles. The challenge for auton…