Searched for: author%3A%22Kemna%2C+Maarten%22
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Kemna, Maarten (author), Heinlein, A. (author), Vuik, Cornelis (author)
Surrogate models based on convolutional neural networks (CNNs) for computational fluid dynamics (CFD) simulations are investigated. In particular, the flow field inside two-dimensional channels with a sudden expansion and an obstacle is predicted using an image representation of the geometry as the input. Generative adversarial neural networks ...
journal article 2023
document
Kemna, Maarten (author)
The perception of visual information is essential in satisfactory control tracking performance. Modern interface technologies such as stereoscopic three-dimensional displays allow for a more ecological representation of three-dimensional surroundings in a remote teleoperative environment without natural binocular vision. However, the effects...
master thesis 2020
document
Kemna, Maarten (author), Pool, D.M. (author), Wentink, Mark (author), Mulder, Max (author)
Numerous critical manual teleoperation tasks, such the control of the refueling boom during aerial refueling, require human controllers to accurately manipulate objects in the depth dimension, i.e., aligned with the viewing direction. To better understand the intricacies of depth control tasks and to be able to better support human controllers...
conference paper 2020