Javier Hidalgo-Carrió

15 papers A* 2A 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2023 A conf
Autonomous Power Line Inspection with Drones via Perception-Aware MPC.
IROS
Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
2023 J jnl
Autonomous Power Line Inspection with Drones via Perception-Aware MPC.
CoRR
Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
2022 J jnl
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry.
CoRR
Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza
2022 J jnl
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry.
IEEE Robotics Autom. Lett.
Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza
2022 J jnl
Design, Testing, and Evolution of Mars Rover Testbeds: European Space Agency Planetary Exploration.
IEEE Robotics Autom. Mag.
Martin Azkarate, Levin Gerdes, Tim Wiese, Martin Zwick, Marco Pagnamenta, Javier Hidalgo-Carrió, Pantelis Poulakis, Carlos Jesús Pérez-del-Pulgar
2022 A* conf
Event-aided Direct Sparse Odometry.
CVPR
Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza
2022 J jnl
Event-aided Direct Sparse Odometry.
CoRR
Javier Hidalgo-Carrió, Guillermo Gallego Bonet, Davide Scaramuzza
2021 J jnl
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
IEEE Robotics Autom. Lett.
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
CoRR
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 A conf
Powerline Tracking with Event Cameras.
IROS
Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
Powerline Tracking with Event Cameras.
CoRR
Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
2020 — conf
Learning Monocular Dense Depth from Events.
3DV
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
2020 J jnl
Learning Monocular Dense Depth from Events.
CoRR
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
2020 A* conf
Video to Events: Recycling Video Datasets for Event Cameras.
CVPR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2019 J jnl
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras.
CoRR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza