Searched for: author%3A%22Paredes-Vall%C3%A9s%2C+Federico%22
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Paredes-Vallés, Federico (author), Hagenaars, J.J. (author), Dupeyroux, J.J.G. (author), Stroobants, S. (author), Xu, Y. (author), de Croon, G.C.H.E. (author)
Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar characteristics. However, robotic implementations have been limited to basic tasks with low-dimensional...
journal article 2024
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Paredes-Vallés, Federico (author)
In the ever-evolving landscape of robotics, the quest for advanced synthetic machines that seamlessly integrate with human lives and society becomes increasingly paramount. At the heart of this pursuit lies the intrinsic need for these machines to perceive, understand, and navigate their surroundings autonomously. Among the senses, vision...
doctoral thesis 2023
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Bouwmeester, Rik J. (author), Paredes-Vallés, Federico (author), de Croon, G.C.H.E. (author)
Nano quadcopters are small, agile, and cheap platforms that are well suited for deployment in narrow, cluttered environments. Due to their limited payload, these vehicles are highly constrained in processing power, rendering conventional vision-based methods for safe and autonomous navigation incompatible. Recent machine learning developments...
conference paper 2023
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Paredes-Vallés, Federico (author), Scheper, K.Y.W. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these solutions, it is necessary to develop algorithms that can leverage the unique nature of event data. However, the current state-of-the-art is still highly influenced...
conference paper 2023
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de Jong, D.B. (author), Paredes-Vallés, Federico (author), de Croon, G.C.H.E. (author)
End-to-end trained convolutional neural networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural...
journal article 2022
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Hagenaars, J.J. (author), Paredes-Vallés, Federico (author), Bohté, Sander M. (author), de Croon, G.C.H.E. (author)
Flying insects are capable of vision-based navigation in cluttered environments, reliably avoiding obstacles through fast and agile maneuvers, while being very efficient in the processing of visual stimuli. Meanwhile, autonomous micro air vehicles still lag far behind their biological counterparts, displaying inferior performance at a much...
journal article 2020
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Paredes-Vallés, Federico (author), Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
The combination of spiking neural networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This paper presents the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in an unsupervised fashion from the raw stimuli generated with an...
journal article 2019
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Garcia-Nieto, Sergio (author), Velasco-Carrau, Jesus (author), Paredes-Vallés, Federico (author), Salcedo, Jose Vicente (author), Simarro, Raul (author)
This paper gathers the design and implementation of the control system that allows an unmanned Flying-wing to perform a Vertical Take-Off and Landing (VTOL) maneuver using two tilting rotors (Bi-Rotor). Unmanned Aerial Vehicles (UAVs) operating in this configuration are also categorized as Hybrid UAVs due to their ability of having a dual...
journal article 2019
Searched for: author%3A%22Paredes-Vall%C3%A9s%2C+Federico%22
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