Zobrazeno 1 - 10
of 205
pro vyhledávání: '"T. Hanselmann"'
Autor:
F. P. A. Vogt, L. Foresti, D. Regenass, S. Réthoré, N. Tarin Burriel, M. Bibby, P. Juda, S. Balmelli, T. Hanselmann, P. du Preez, D. Furrer
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 4891-4914 (2024)
Ceilometers are used routinely at aerodromes worldwide to derive the height and sky coverage fraction of cloud layers. This information, possibly combined with direct observations by human observers, contributes to the production of meteorological ae
Externí odkaz:
https://doaj.org/article/53dfb952c10b4227917832a2fb4bac41
Akademický článek
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Autor:
M. Rotter, L. Käßer, J. Kneitz, F. Eilts, G. Dekevic, D. Salzig, T. Hanselmann, G. Cremers, D. Exner, P. Czermak
Publikováno v:
Poster.
Akademický článek
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Autor:
Jonathan Wei Jen Tan, Mohd Ifran Md Nor, Mark R. Morelande, Xing-She Zhou, Yee Wei Law, T. Hanselmann, Yu Zhang
A centralized self-localization algorithm is used to estimate sensor locations. From the known positions of at least 3 anchor nodes the remaining sensor positions are estimated using an efficient particle filter (PF) with progressive correction. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23b85e9c61e81da504629added671b5a
https://hdl.handle.net/1959.8/162435
https://hdl.handle.net/1959.8/162435
Autor:
Mark R. Morelande, T. Hanselmann
Publikováno v:
FUSION
An algorithm for detection and tracking of multiple targets using bearings measurements from several sensors is developed. The algorithm is an implementation of a multiple hypothesis tracker with pruning of unlikely hypotheses. Tracking conditional o
Publikováno v:
IEEE transactions on neural networks. 18(3)
A continuous-time formulation of an adaptive critic design (ACD) is investigated. Connections to the discrete case are made, where backpropagation through time (BPTT) and real-time recurrent learning (RTRL) are prevalent. Practical benefits are that
Publikováno v:
2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.
In this paper a new heuristic for transmission scheduling in sensor networks is proposed, using a model suggested by Chen et al. The performance and complexity of their algorithms are analyzed and it seems that the procedure for optimal scheduling wi
Publikováno v:
FUSION
False track discrimination performance of a target tracking algorithm in a heavy clutter environment depends on the track confirmation and the track termination thresholds. The optimum value of these thresholds depends on the environment, in particul