Searched for: author:"Snijders, R."
(1 - 6 of 6)
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Paardekooper, J.P. (author), Comi, M. (author), Grappiolo, C. (author), Snijders, R. (author), van Vught, W. (author), Beekelaar, R. (author)
An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...
conference paper 2021
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Snijders, R. (author), Pileggi, P.P. (author), Broekhuijsen, B.J. (author), Verriet, J. (author), Wiering, M. (author), Kok, J.K. (author)
Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze...
conference paper 2020
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Snijders, R. (author), Elrofai, H. (author)
While autonomy offers a solution to many issues facing the maritime and naval industry, assessing the safety and reliability of autonomous shipping is one of the key challenges. Established methods and standards for conventional ships are still relevant but do not account for the challenges that come with the application of Artificial...
conference paper 2020
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Geurts, C.P.W. (author), Bronkhorst, A.J. (author), Moretti, D. (author), Pruiksma, J.P. (author), Snijders, R. (author)
A study was undertaken to define which set of signal characteristics can be used to differentiate between various vibration sources in a built environment. Several datasets of vibration measurements on known sources are obtained and analyzed. A set of 11 signal characteristics were determined for all signals. Based on the correlation between...
conference paper 2020
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van Lieshout, M.J. (author), Timan, T. (author), Karanikolova, K. (author), Chen, T.M. (author), Jansen, S.T.H. (author), Snijders, R. (author), Brouwer, R. (author), Tejada Ruiz, A. (author), van Montfort, S. (author), Bolchi, M. (author), Suardi, S. (author), Kirova, M. (author), Castenco, P. (author), Bertolini, A. (author), Episcopo, F. (author), Alberti, S. (author), Palmerini, E. (author)
As part of the ‘Study on Safety of non-embedded software’ TNO, VVA, and SSSA analysed the legal and business landscape and the challenges and opportunities related to new advanced technologies associated with digitisation and AI. The team studied: The safety of non-embedded software by gathering evidence and analysing the key risks, focusing on...
report 2019
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Snijders, R. (author), de Jong, A.P.J. (author), Albers, T. (author), van Waaij, B.D. (author), Vonder, M.R. (author)
The vast amount of livestock (sensor) data collected everyday, offers a huge potential to improve model prediction and therefore decision support for farmers. However, the prediction performance of these models depends highly on the availability and quality of the data. Careful dataset preparation is therefore important. Nowadays, selecting and...
conference paper 2019
Searched for: author:"Snijders, R."
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