66 citations · 207 across the 13 of their papers we have counts for
15 papers
A Graph-based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups
Daniele Evangelista, Emilio Olivastri, Davide Allegro +2
Hand-eye calibration is the problem of estimating the spatial transformation between a reference frame, usually the base of a robot arm or its gripper, and the reference frame of o…
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…
People Tracking in Panoramic Video for Guiding Robots
Alberto Bacchin, Filippo Berno, Emanuele Menegatti +1
A guiding robot aims to effectively bring people to and from specific places within environments that are possibly unknown to them. During this operation the robot should be able t…
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…
Receding Horizon Task and Motion Planning in Changing Environments
Nicola Castaman, Enrico Pagello, Emanuele Menegatti +1
Complex manipulation tasks require careful integration of symbolic reasoning and motion planning. This problem, commonly referred to as Task and Motion Planning (TAMP), is even mor…
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen +3
We present a 3D capsule module for processing point clouds that is equivariant to 3D rotations and translations, as well as invariant to permutations of the input points. The opera…