Searched for: author%3A%22De+Croon%2C+G.C.H.E.%22
(1 - 20 of 78)

Pages

document
Olejnik, D.A. (author), Muijres, Florian T. (author), Karasek, M. (author), Honfi Camilo, Leonardo (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Natural fliers utilize passive and active flight control strategies to cope with windy conditions. This capability makes them incredibly agile and resistant to wind gusts. Here, we study how insects achieve this, by combining Computational Fluid Dynamics (CFD) analyses of flying fruit flies with freely-flying robotic experiments. The CFD...
journal article 2022
document
Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Wireless ranging measurements have been proposed for enabling multiple Micro Air Vehicles (MAVs) to localize with respect to each other. However, the high-dimensional relative states are weakly observable due to the scalar distance measurement. Hence, the MAVs have degraded relative localization and control performance under unobservable...
journal article 2022
document
Pfeiffer, S.U. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
We present a computationally efficient moving horizon estimator that allows for real-time localization using Ultra-Wideband measurements on small quadrotors. The estimator uses only a single iteration of a simple gradient descent method to optimize the state estimate based on past measurements, while using random sample consensus to reject...
journal article 2021
document
Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Wireless ranging measurements have been proposed for enabling multiple Micro Air Vehicles (MAVs) to localize with respect to each other. However, the high-dimensional relative states are weakly observable due to the scalar distance measurement. Hence, the MAVs have degraded relative localization and control performance under unobservable...
conference paper 2021
document
Westenberger, J.M. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Time-optimal model predictive control is important for achieving fast racing drones but is computationally intensive and thereby rarely used onboard small quadcopters with limited computational resources. In this work, we simplify the optimal control problem (OCP) of the position loop for several maneuvers by exploiting the fact that the...
conference paper 2021
document
Wijnker, D.C. (author), van Dijk, Tom (author), Snellen, M. (author), de Croon, G.C.H.E. (author), de Wagter, C. (author)
To investigate how an unmanned air vehicle can detect manned aircraft with a single microphone, an audio data set is created in which unmanned air vehicle ego-sound and recorded aircraft sound are mixed together. A convolutional neural network is used to perform air traffic detection. Due to restrictions on flying unmanned air vehicles close to...
journal article 2021
document
Parlevliet, Patricia P. (author), Kanaev, Andrey (author), Hung, Chou P. (author), Schweiger, Andreas (author), Gregory, Frederick D. (author), Benosman, Ryad (author), de Croon, G.C.H.E. (author), Gutfreund, Yoram (author), Lo, Chung Chuan (author), Moss, Cynthia F. (author)
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous systems for everyday missions still requires an immense interdisciplinary research effort supported by pointed policies and funding. We believe that concerted endeavors in the fields of neuroscience, mathematics, sensor physics, robotics, and...
journal article 2021
document
Goyal, P. (author), Cribellier, Antoine (author), de Croon, G.C.H.E. (author), Lankheet, Martin J. (author), van Leeuwen, Johan L. (author), Pieters, Remco P.M. (author), Muijres, Florian T. (author)
When approaching a landing surface, many flying animals use visual feedback to control their landing. Here, we studied how foraging bumblebees (Bombus terrestris) use radial optic expansion cues to control in-flight decelerations during landing. By analyzing the flight dynamics of 4,672 landing maneuvers, we showed that landing bumblebees...
journal article 2021
document
Bahnam, Stavrow (author), Pfeiffer, S.U. (author), de Croon, G.C.H.E. (author)
Current existing stereo visual odometry algorithms are computationally too expensive for robots with restricted resources. Executing these algorithms on such robots leads to a low frame rate and unacceptable decay in accuracy. We modify S-MSCKF, one of the most computationally efficient stereo Visual Inertial Odometry (VIO) algorithm, to improve...
conference paper 2021
document
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
document
de Croon, G.C.H.E. (author)
journal article 2020
document
Coppola, M. (author), McGuire, K.N. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
This work presents a review and discussion of the challenges that must be solved in order to successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From the discussion, we extract constraints and links that relate the local level MAV capabilities to the global operations of the swarm. These should be taken into...
review 2020
document
Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel approaches and new insights. A common problem encountered with this approach is that when this optimization occurs in a simulated environment, the optimized policies are...
journal article 2020
document
Li, S. (author), van der Horst, E. (author), Duernay, Philipp (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
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 robotics. In this paper, we propose a novel sensor fusion method called visual model-predictive localization (VML). Within a small time window, VML approximates...
journal article 2020
document
Potdar, N.D. (author), de Croon, G.C.H.E. (author), Alonso Mora, J. (author)
Micro Aerial Vehicles (MAVs) can be used for aerial transportation in remote and urban spaces where portability can be exploited to reach previously inaccessible and inhospitable spaces. Current approaches for path planning of MAV swung payload system either compute conservative minimal-swing trajectories or pre-generate agile collision-free...
journal article 2020
document
Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Autonomous robots heavily rely on well-tuned state estimation filters for successful control. This letter presents a novel automatic tuning strategy for learning filter parameters by minimizing the innovation, i.e., the discrepancy between expected and received signals from all sensors. The optimization process only requires the inputs and...
journal article 2019
document
van Dijk, Tom (author), de Croon, G.C.H.E. (author)
Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work shows that the quality of these estimations is rapidly increasing. It is clear that neural networks can see depth in single images. However, to the best of our knowledge, no work currently exists that analyzes what these networks have learned. In...
conference paper 2019
document
Armanini, S.F. (author), Caetano, J. V. (author), de Visser, C.C. (author), Pavel, M.D. (author), de Croon, G.C.H.E. (author), Mulder, Max (author)
Despite significant interest in tailless flapping-wing micro aerial vehicle designs, tailed configurations are often favoured, as they offer many benefits, such as static stability and a simpler control strategy, separating wing and tail control. However, the tail aerodynamics are highly complex due to the interaction between the unsteady...
journal article 2019
document
Li, S. (author), de Wagter, C. (author), de Visser, C.C. (author), Chu, Q. P. (author), de Croon, G.C.H.E. (author)
High-speed flight in GPS-denied environments is currently an important frontier in the research on autonomous flight of micro air vehicles. Autonomous drone races stimulate the advances in this area by representing a very challenging case with tight turns, texture-less floors, and dynamic spectators around the track. These properties hamper...
journal article 2019
document
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
Searched for: author%3A%22De+Croon%2C+G.C.H.E.%22
(1 - 20 of 78)

Pages