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Federico Ferri

dblp:147/4418 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 87% Robot navigation and mapping · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.212016
Terrain contact modeling and classification for ATVs · ICRA 2016
Robotics › Legged, aerial and field robots
tracked vehicle
0.212016
Terrain contact modeling and classification for ATVs · ICRA 2016
Robotics › Robot navigation and mapping
terrain classification
0.112016
Terrain contact modeling and classification for ATVs · ICRA 2016

Methods — techniques the papers use, named apart from their topics

wavelet packet transform · 0.2sparse SVM · 0.2fault detection and isolation · 0.2
YearPublicationVenuePosition
2016 Terrain contact modeling and classification for ATVs
abstract
We present a method for estimating the contact event between sensor-free active subtracks, named flippers, of an articulated tracked vehicle (ATV) and the terrain surface. The main idea is to consider both the moving base link and unexpected collisions dynamics as disturbances of the flipper dynamics. On this basis we extend the generalized momenta fault detection and isolation (FDI) method to compute the residual dynamics of the flippers, without resorting to additional sensory information. Under the hypothesis that the residual signal presents disturbance patterns that can be discriminated by those generated by unexpected collisions of the flippers with the ground, we apply a classification method to recover the contact event. The wavelet packet transform is used to decompose the signal and to generate a feature space for the residual, from the different subbands. Finally, sparse SVM, based on feature selection discriminates the contact signal.
Mario Gianni, Manuel A. Ruiz Garcia, Federico Ferri, Fiora Pirri
ICRA3
2015 Dynamic obstacles detection and 3D map updating
abstract
We present a real time method for updating a 3D map with dynamic obstacles detection. Moving obstacles are detected through ray-casting on spherical voxelization of point clouds. We evaluate the accuracy of this method on a point cloud dataset, suitably constructed for testing ray-surface intersection under relative motion conditions. Moreover, we show the benefits of the map updating in a real robot equipped with a rotating LIDAR system, navigating in real world scenarios, populated by moving people.
Federico Ferri, Mario Gianni, Matteo Menna, Fiora Pirri
IROS1
2014 Real-time autonomous 3D navigation for tracked vehicles in rescue environments
abstract
The paper presents a novel framework for 3D autonomous navigation for tracked vehicles. The framework takes care of clustering and segmentation of point clouds, traversability analysis, autonomous 3D path planning, motion planning and flippers control. Results illustrated in an experiment section show that the framework is promising to face harsh terrains. Robot performance is proved in three main experiments taken in a training rescue area, on fire escape stairs and in a non-planar testing environment, built ad-hoc to prove 3D path planning functionalities. Performance tests are also presented.
Matteo Menna, Mario Gianni, Federico Ferri, Fiora Pirri
IROS3