139 citations · 194 across the 6 of their papers we have counts for
6 papers
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
Matteo Bonotto, Luigi Sarrocco, Daniele Evangelista +2
Neural Radiance Fields (NeRFs) have shown impressive results for novel view synthesis when a sufficiently large amount of views are available. When dealing with few-shot settings,…
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Daniel Fusaro, Emilio Olivastri, Daniele Evangelista +3
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation. This pap…
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista +4
This paper presents a new framework for human body part segmentation based on Deep Convolutional Neural Networks trained using only synthetic data. The proposed approach achieves c…
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
An Effective Multi-Cue Positioning System for Agricultural Robotics
Marco Imperoli, Ciro Potena, Daniele Nardi +2
The self-localization capability is a crucial component for Unmanned Ground Vehicles (UGV) in farming applications. Approaches based solely on visual cues or on low-cost GPS are ea…
Active Detection and Localization of Textureless Objects in Cluttered Environments
Marco Imperoli, Alberto Pretto
This paper introduces an active object detection and localization framework that combines a robust untextured object detection and 3D pose estimation algorithm with a novel next-be…