Javier Hidalgo-Carrió

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Consistent Labeling

Top Venues

IEEE Robotics Autom. Lett.

Publications

Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. CoRR (2023)
Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. IROS (2023)
Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. IEEE Robotics Autom. Lett. 7 (4) (2022)
Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza
Event-aided Direct Sparse Odometry. CVPR (2022)
Javier Hidalgo-Carrió, Guillermo Gallego Bonet, Davide Scaramuzza
Event-aided Direct Sparse Odometry. CoRR (2022)
Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. CoRR (2022)
Martin Azkarate, Levin Gerdes, Tim Wiese, Martin Zwick, Marco Pagnamenta, Javier Hidalgo-Carrió, Pantelis Poulakis, Carlos Jesús Pérez-del-Pulgar
Design, Testing, and Evolution of Mars Rover Testbeds: European Space Agency Planetary Exploration. IEEE Robotics Autom. Mag. 29 (3) (2022)
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. CoRR (2021)
Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Powerline Tracking with Event Cameras. IROS (2021)
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robotics Autom. Lett. 6 (2) (2021)
Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Powerline Tracking with Event Cameras. CoRR (2021)
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
Learning Monocular Dense Depth from Events. 3DV (2020)
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Video to Events: Recycling Video Datasets for Event Cameras. CVPR (2020)
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
Learning Monocular Dense Depth from Events. CoRR (2020)
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. CoRR (2019)