47 citations · 89 across the 7 of their papers we have counts for
8 papers
Fully neuromorphic vision and control for autonomous drone flight
Federico Paredes-Vallés, Jesse Hagenaars, Julien Dupeyroux +3
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…
Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow
Federico Paredes-Vallés, Kirk Y. W. Scheper, Christophe De Wagter +1
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…
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Yilun Wu, Federico Paredes-Vallés, Guido C. H. E. de Croon
Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and sto…
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter
Rik J. Bouwmeester, Federico Paredes-Vallés, Guido C. H. E. de Croon
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 highl…
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
Nitin J. Sanket, Chahat Deep Singh, Chethan M. Parameshwara +3
The rapid rise of accessibility of unmanned aerial vehicles or drones pose a threat to general security and confidentiality. Most of the commercially available or custom-built dron…
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
D. B. de Jong, F. Paredes-Vallés, G. C. H. E. de Croon
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 i…
Visual Model-predictive Localization for Computationally Efficient Autonomous Racing of a 72-gram Drone
Shuo Li, Erik van der Horst, Philipp Duernay +2
Drone racing is becoming a popular e-sport all over the world, and beating the best human drone race pilots has quickly become a new major challenge for artificial intelligence and…
Distance estimation with efference copies and optical flow maneuvers: a stability-based strategy
G. C. H. E. de Croon
The visual cue of optical flow plays a major role in the navigation of flying insects, and is increasingly studied for use by small flying robots as well. A major problem is that s…