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pro vyhledávání: '"G., C. H."'
Inspired by the natural nervous system, synaptic plasticity rules are applied to train spiking neural networks with local information, making them suitable for online learning on neuromorphic hardware. However, when such rules are implemented to lear
Externí odkaz:
http://arxiv.org/abs/2202.12322
Event cameras are novel vision sensors that sample, in an asynchronous fashion, brightness increments with low latency and high temporal resolution. The resulting streams of events are of high value by themselves, especially for high speed motion est
Externí odkaz:
http://arxiv.org/abs/2009.08283
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
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
Externí odkaz:
http://arxiv.org/abs/2004.09317
Publikováno v:
IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6239-6246, Oct. 2020
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 st
Externí odkaz:
http://arxiv.org/abs/2003.03118
Drone racing is becoming a popular sport where human pilots have to control their drones to fly at high speed through complex environments and pass a number of gates in a pre-defined sequence. In this paper, we develop an autonomous system for drones
Externí odkaz:
http://arxiv.org/abs/1809.05958
Publikováno v:
Journal of Guidance, Control and Dynamics, September 2019 [online]
Hybrid unmanned aircraft can significantly increase the potential of micro air vehicles, because they combine hovering capability with a wing for fast and efficient forward flight. However, these vehicles are very difficult to control, because their
Externí odkaz:
http://arxiv.org/abs/1802.00714
Autor:
de Croon, G. C. H. E.
Self-supervised learning (SSL) is a reliable learning mechanism in which a robot enhances its perceptual capabilities. Typically, in SSL a trusted, primary sensor cue provides supervised training data to a secondary sensor cue. In this article, a the
Externí odkaz:
http://arxiv.org/abs/1709.08126
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Indoor localization for autonomous micro aerial vehicles (MAVs) requires specific localization techniques, since the Global Positioning System (GPS) is usually not available. We present an efficient onboard computer vision approach that estimates 2D
Externí odkaz:
http://arxiv.org/abs/1610.07233
Bio-inspired methods can provide efficient solutions to perform autonomous landing for Micro Air Vehicles (MAVs). Flying insects such as honeybees perform vertical landings by keeping flow divergence constant. This leads to an exponential decay of bo
Externí odkaz:
http://arxiv.org/abs/1609.06767