activity
20182024
most citedA Survey on Recent Advances in Transport Layer Protocols

153 citations · 245 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2024

ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data

Elia Bonetto, Aamir Ahmad

Collecting and labeling large real-world wild animal datasets is impractical, costly, error-prone, and labor-intensive. For animal monitoring tasks, as detection, tracking, and pos…

cs.RO2023

DynaPix SLAM: A Pixel-Based Dynamic Visual SLAM Approach

Chenghao Xu, Elia Bonetto, Aamir Ahmad

Visual Simultaneous Localization and Mapping (V-SLAM) methods achieve remarkable performance in static environments, but face challenges in dynamic scenes where moving objects seve…

cs.RO2023

Simulation of Dynamic Environments for SLAM

Elia Bonetto, Chenghao Xu, Aamir Ahmad

Simulation engines are widely adopted in robotics. However, they lack either full simulation control, ROS integration, realistic physics, or photorealism. Recently, synthetic data…

cs.CV2023

Learning from synthetic data generated with GRADE

Elia Bonetto, Chenghao Xu, Aamir Ahmad

Recently, synthetic data generation and realistic rendering has advanced tasks like target tracking and human pose estimation. Simulations for most robotics applications are obtain…

cs.CV2023★ 8 cited

Synthetic Data-based Detection of Zebras in Drone Imagery

Elia Bonetto, Aamir Ahmad

Nowadays, there is a wide availability of datasets that enable the training of common object detectors or human detectors. These come in the form of labelled real-world images and…

cs.RO2023★ 2 cited

GRADE: Generating Realistic And Dynamic Environments for Robotics Research with Isaac Sim

Elia Bonetto, Chenghao Xu, Aamir Ahmad

Synthetic data and novel rendering techniques have greatly influenced computer vision research in tasks like target tracking and human pose estimation. However, robotics research h…

cs.CV2022★ 35 cited

AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

Nitin Saini, Elia Bonetto, Eric Price +2

In this letter, we present a novel markerless 3D human motion capture (MoCap) system for unstructured, outdoor environments that uses a team of autonomous unmanned aerial vehicles…

cs.RO2021★ 7 cited

Active Visual SLAM with Independently Rotating Camera

Elia Bonetto, Pascal Goldschmid, Michael J. Black +1

In active Visual-SLAM (V-SLAM), a robot relies on the information retrieved by its cameras to control its own movements for autonomous mapping of the environment. Cameras are usual…

cs.RO2021★ 39 cited

iRotate: Active Visual SLAM for Omnidirectional Robots

Elia Bonetto, Pascal Goldschmid, Michael Pabst +2

In this paper, we present an active visual SLAM approach for omnidirectional robots. The goal is to generate control commands that allow such a robot to simultaneously localize its…

cs.RO2020★ 1 cited

AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning

Rahul Tallamraju, Nitin Saini, Elia Bonetto +4

In this letter, we introduce a deep reinforcement learning (RL) based multi-robot formation controller for the task of autonomous aerial human motion capture (MoCap). We focus on v…

cs.NI2018★ 153 cited

A Survey on Recent Advances in Transport Layer Protocols

Michele Polese, Federico Chiariotti, Elia Bonetto +3

Over the years, the Internet has been enriched with new available communication technologies, for both fixed and mobile networks and devices, exhibiting an impressive growth in ter…