AIConfPaper
← Search

J.R. Martínez-de Dios

5 accepted papers

2023

A Comparison Between Framed-Based and Event-Based Cameras for Flapping-Wing Robot Perception

R. Tapia, J.P. Rodríguez-Gómez, J.A. Sanchez-Diaz, F.J. Gañán, I.G. Rodríguez, J. Luna-Santamaria +2
IROS 2023poster

Perception systems for ornithopters face severe challenges. The harsh vibrations and abrupt movements caused during flapping are prone to produce motion blur and strong lighting condition changes. Their strict restrictions in weight, size, and energy consumption also limit the type and number of sen…

Cited by 9Source ↗Scholar ↗
2021

Why fly blind? Event-based visual guidance for ornithopter robot flight

A. Gómez Eguíluz, J.P. Rodríguez-Gómez, R. Tapia, F.J. Maldonado, J.Á. Acosta, J.R. Martínez-de Dios +1
IROS 2021poster

The development of perception and control methods that allow bird-scale flapping-wing robots (a.k.a. ornithopters) to perform autonomously is an under-researched area. This paper presents a fully onboard event-based method for ornithopter robot visual guidance. The method uses event cameras to explo…

Cited by 25Source ↗Scholar ↗
2020

Asynchronous Event-based Line Tracking for Time-to-Contact Maneuvers in UAS

A. Gómez Eguíluz, J.P. Rodríguez-Gómez, J.R. Martínez-de Dios, A. Ollero
IROS 2020poster

This paper presents an bio-inspired event-based perception scheme for agile aerial robot maneuvering. It tries to mimic birds, which perform purposeful maneuvers by closing the separation in the retinal image (w.r.t. the goal) to follow time-to-contact trajectories. The proposed approach is based on…

Cited by 24Source ↗Scholar ↗
2020

Asynchronous event-based clustering and tracking for intrusion monitoring in UAS

J.P. Rodríguez-Gomez, A. Gómez Eguíluz, J.R. Martínez-de Dios, A. Ollero
ICRA 2020poster

Automatic surveillance and monitoring using Unmanned Aerial Systems (UAS) require the development of perception systems that robustly work under different illumination conditions. Event cameras are neuromorphic sensors that capture the illumination changes in the scene with very low latency and high…

Cited by 50Source ↗Scholar ↗
2019

Multi-Sensor 6-DoF Localization For Aerial Robots In Complex GNSS-Denied Environments

J.L. Paneque, J.R. Martínez-de Dios, A. Ollero
IROS 2019poster

The need for robots autonomously navigating in more and more complex environments has motivated intense R& D efforts in making robot pose estimation more accurate and reliable. This paper presents a multi-sensor multi-hypothesis method for robust 6-DoF localization in complex environments. Robustnes…

Cited by 22Source ↗Scholar ↗