59 citations · 124 across the 10 of their papers we have counts for
10 papers
Active Illumination for Visual Ego-Motion Estimation in the Dark
Francesco Crocetti, Alberto Dionigi, Raffaele Brilli +2
Visual Odometry (VO) and Visual SLAM (V-SLAM) systems often struggle in low-light and dark environments due to the lack of robust visual features. In this paper, we propose a novel…
Almost Global Trajectory Tracking for Quadrotors Using Thrust Direction Control on
Mirko Leomanni, Alberto Dionigi, Francesco Ferrante +2
Many of the existing works on quadrotor control address the trajectory tracking problem by employing a cascade design in which the translational and rotational dynamics are stabili…
A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster-Shafer Combination Rule *
Cartocci N., M. R. Napolitano, G. Costante +3
In-flight sensor fault diagnosis and recursive combination of residual signals via the Dempster-Shafer (DS) theory have been considered in this study. In particular, a novel eviden…
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis
N. Cartocci, G. Costante, M. R. Napolitano +3
In this paper PCA and D-PCA techniques are applied for the design of a Data Driven diagnostic Fault Isolation (FI) and Fault Estimation (FE) scheme for 18 primary sensors of a semi…
Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system
Francesco Crocetti, G. Costante, M. L. Fravolini +1
The accurate online estimation of the road-friction coefficient is an essential feature for any advanced brake control system. In this study, a data-driven scheme based on a MLP Ne…
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions
F. Crocetti, G. Costante, M. L. Fravolini +1
The performances of braking control systems for robotic platforms, e.g., assisted and autonomous vehicles, airplanes and drones, are deeply influenced by the road-tire friction exp…
The Role of the Input in Natural Language Video Description
Silvia Cascianelli, Gabriele Costante, Alessandro Devo +3
Natural Language Video Description (NLVD) has recently received strong interest in the Computer Vision, Natural Language Processing (NLP), Multimedia, and Autonomous Robotics commu…
J-MOD: Joint Monocular Obstacle Detection and Depth Estimation
Michele Mancini, Gabriele Costante, Paolo Valigi +1
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications. Most of the existing approach…
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
Michele Mancini, Gabriele Costante, Paolo Valigi +1
Obstacle Detection is a central problem for any robotic system, and critical for autonomous systems that travel at high speeds in unpredictable environment. This is often achieved…
Perception-aware Path Planning
Gabriele Costante, Christian Forster, Jeffrey Delmerico +2
In this paper, we give a double twist to the problem of planning under uncertainty. State-of-the-art planners seek to minimize the localization uncertainty by only considering the…