TY - CHAP A1 - Zernetsch, Stefan A1 - Kohnen, Sascha A1 - Goldhammer, Michael A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Trajectory prediction of cyclists using a physical model and an artificial neural network T2 - Intelligent Vehicles Symposium (IV), 2016 N2 - This article presents two methods for predicting the trajectories of cyclists at an intersection and compares them to a Kalman Filter (KF) approach. The first method uses a physical model of cyclists to predict their future position. The second method is based on a polynomial least-squares approximation in combination with a multilayer perceptron artificial neural network and is able to predict the future position of cyclists independent of their motion type such as “Starting”, “Stopping”, “Waiting” or “Passing”. To evaluate the performance of the methods, 566 tracks (394 for training, 172 for testing) of uninstructed cyclists were recorded at a public intersection using a wide angle stereo camera system and laser scanners. Using the tracks as input data, the future trajectory was predicted for a time horizon of 2.5 s. For starting motions the prediction using the physical model leads to 27% more accurate positions than the KF approach for a forecast horizon of 2.5 s. The neural network shows a 34% more accurate result for starting and stopping motions and a similar result for waiting and passing motions. KW - Kalman-Filter KW - Prognose Y1 - 2016 U6 - https://doi.org/10.1109/IVS.2016.7535484 SP - 833 EP - 838 ER - TY - JOUR A1 - Lieb, Florian A1 - Stark, Hans-Georg A1 - Thielemann, Christiane T1 - A stationary wavelet transform and a time-frequency based spike detection algorithm for extracellular recorded data JF - Journal of Neural Engineering N2 - Objective. Spike detection from extracellular recordings is a crucial preprocessing step when analyzing neuronal activity. The decision whether a specific part of the signal is a spike or not is important for any kind of other subsequent preprocessing steps, like spike sorting or burst detection in order to reduce the classification of erroneously identified spikes. Many spike detection algorithms have already been suggested, all working reasonably well whenever the signal-to-noise ratio is large enough. When the noise level is high, however, these algorithms have a poor performance. Approach. In this paper we present two new spike detection algorithms. The first is based on a stationary wavelet energy operator and the second is based on the time-frequency representation of spikes. Both algorithms are more reliable than all of the most commonly used methods. Main results. The performance of the algorithms is confirmed by using simulated data, resembling original data recorded from cortical neurons with multielectrode arrays. In order to demonstrate that the performance of the algorithms is not restricted to only one specific set of data, we also verify the performance using a simulated publicly available data set. We show that both proposed algorithms have the best performance under all tested methods, regardless of the signal-to-noise ratio in both data sets. Significance. This contribution will redound to the benefit of electrophysiological investigations of human cells. Especially the spatial and temporal analysis of neural network communications is improved by using the proposed spike detection algorithms. KW - spike detection KW - wavelet TEO KW - extracellular recording KW - Neuronales Netz Y1 - 2017 U6 - https://doi.org/10.1088/1741-2552/aa654b VL - 2017 IS - 14 SP - 1 EP - 13 ER - TY - JOUR A1 - Jost, Thomas A1 - Reitz, Stefan T1 - 25 Jahre Maastrichter Verträge - reale Divergenzen und institutionelle Reformen JF - Wirtschaftsdienst - Zeitschrift für Wirtschaftspolitik KW - Maastricht, Eurozone, Euro, Konvergenz KW - Maastrichter Vertrag Y1 - 2017 VL - 97 IS - 2 SP - 124 EP - 129 PB - Springer ER - TY - BOOK A1 - Jost, Thomas T1 - Zur internationalen Transmission makropolitischer Aktivitäten bei flexiblen Wechselkurse KW - Flexible Wechselkurse KW - Koordinierte Wirtschaftspolitik KW - Flexibler Wechselkurs KW - Internationaler Konjunkturzusammenhang KW - Transmissionsmechanismus KW - Ökonometrisches Modell Y1 - 1989 PB - Peter Lang Verlag CY - Frankfurt am Main ER - TY - RPRT A1 - Jost, Thomas T1 - Direct Investment and Germany as a Business Location T2 - Deutsche Bundesbank, Discussion Paper KW - Direktinvestitionen KW - Standortdiskussion KW - Direktinvestition Y1 - 1997 IS - 2/97 ER - TY - CHAP A1 - Jost, Thomas T1 - Zur Aussagekraft der Direktinvestitionsstatistiken der Deutschen Bundesbank T2 - Theorie und Empirie der Direktinvestitionen KW - Direktinvestitionen KW - Deutsche Bundesbank KW - Direktinvestition Y1 - 1999 SN - 9783428100156 VL - 1999 IS - N.F. 65 SP - 129 EP - 148 PB - Schriftenreihe des Rheinisch-Westfälischen Instituts für Wirtschaftsforschung CY - Essen ER - TY - JOUR A1 - Jost, Thomas T1 - Wettbewerbsvorteile deutscher Unternehmen in Mittel- und Osteuropa JF - Das wirtschaftswissenschaftliche Studium (WiSt) KW - Außenhandel KW - Wettbewerbsvorteile KW - Außenhandel KW - Wettbewerbsvorteil Y1 - 2001 U6 - https://doi.org/10.15358/0340-1650-2001-1-23 VL - 2001 IS - Januar SP - 23 EP - 29 ER - TY - JOUR A1 - Jost, Thomas T1 - Konzepte zur Bereinigung des Inlands- oder Sozialprodukts um Terms of Trade-Effekte JF - Das Wirtschaftsstudium (WISU) KW - Terms of Trade KW - Bruttoinlandsprodukt KW - Bruttoinlandsprodukt KW - Terms of Trade Y1 - 2001 VL - 2001 IS - April SP - 482 EP - 488 ER - TY - JOUR A1 - Jost, Thomas T1 - Direktinvestitionen - warum und in welchem Umgang deutsche Unternehmen in den EU-Beitrittsländern investieren JF - Das Wirtschaftsstudium (WISU) KW - Direktinvestitionen KW - Direktinvestition Y1 - 2001 VL - 2001 IS - Juli SP - 963 EP - 964 ER - TY - JOUR A1 - Jost, Thomas T1 - Erklärung der regionalen Struktur der deutschen Exporte JF - Review of Economics KW - Aussenhandel KW - Exporte KW - Gravity Modell KW - Außenhandel KW - Export KW - Gravitationsmodell Y1 - 2001 VL - 2001 IS - Band 52 SP - 95 EP - 109 ER -