TY  - JOUR
A1  - Maiwald, Volker
A1  - Dachwald, Bernd
T1  - Mission Design for a Multiple-Rendezvous Mission to Jupiter's Trojans
Y1  - 2010
N1  - COSPAR 2010 ; 38th COSPAR Scientific Assembly. Held 18-25 July 2010 in Bremen, Germany [Abstract]
SP  - 3
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
A1  - Wurm, Patrick
T1  - Mission analysis and performance comparison for an Advanced Solar Photon Thruster
JF  - Advances in Space Research
Y1  - 2011
SN  - 0273-1177
VL  - 48
IS  - 11
SP  - 1858
EP  - 1868
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
T1  - Minimum Transfer Times for Nonperfectly Reflecting Solar Sailcraft
JF  - Journal of Spacecraft and Rockets. 41 (2004), H. 4
Y1  - 2004
SN  - 0022-4650
N1  - 2. ISSN: 1533-6794
SP  - 693
EP  - 695
ER  - 
TY  - JOUR
A1  - Genz, M.
A1  - King, H.
A1  - Wahle, Michael
T1  - Mikrozellige Polyurethan-Elastomere als Federelement in Automobilanwendungen
JF  - Automobiltechnische Zeitschrift ; ATZ
Y1  - 1992
SN  - 0001-2785
VL  - 94
IS  - 10
SP  - 512
EP  - 520
ER  - 
TY  - JOUR
A1  - Wittmann, Klaus
A1  - Schmidt, H. P.
A1  - Feuerbacher, B.
T1  - Microgravity research and user support in the Space Station era: The Microgravity User Support Centre
JF  - Acta Astronautica. 17 (1988), H. 11-12
Y1  - 1988
SN  - 0094-5765
SP  - 1161
EP  - 1168
ER  - 
TY  - JOUR
A1  - Campen, R.
A1  - Kowalski, Julia
A1  - Lyons, W.B.
A1  - Tulaczyk, S.
A1  - Dachwald, Bernd
A1  - Pettit, E.
A1  - Welch, K. A.
A1  - Mikucki, J.A.
T1  - Microbial diversity of an Antarctic subglacial community and high‐resolution replicate sampling inform hydrological connectivity in a polar desert
JF  - Environmental Microbiology
Y1  - 2019
U6  - https://doi.org/10.1111/1462-2920.14607
SN  - 1462-2920
IS  - accepted article
PB  - Wiley
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Schildt, Ph.
A1  - Braun, Carsten
A1  - Marzocca, P.
T1  - Metric evaluating potentials of condition-monitoring approaches for hybrid electric aircraft propulsion systems
JF  - CEAS Aeronautical Journal
Y1  - 2019
U6  - https://doi.org/10.1007/s13272-019-00411-3
SN  - 1869-5590
SP  - 1
EP  - 14
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Schmitz, Günter
A1  - Pischinger, M.
T1  - Mechatronische Simulation eines EMV- Aktuators
JF  - TransMechatronik : Entwicklung und Transfer von Entwicklungssystemen der Mechatronik / Paderborner Workshop TransMechatronik, 24. Juni 1997, Heinz-Nixdorf-MuseumsForum. [Hrsg. Jürgen Gausemeier]
Y1  - 1997
SN  - 3-931466-22-1
N1  - HNI-Verlagsschriftenreihe ; 23
SP  - 69
EP  - 83
PB  - Heinz-Nixdorf-Inst., Univ.-GH Paderborn
CY  - Paderborn
ER  - 
TY  - JOUR
A1  - Schmitz, Günter
T1  - Mechatronic Systems Simulation as an obligatory module for Mechatronic Master Students
JF  - Mechatronics & Robotics 2004 : Aachen, Germany, September 13 - 15, 2004 / [IEEE Industrial Electronics Society ...] P. Drews (ed.)
Y1  - 2004
SN  - 3-938153-50-X
SP  - 1278
PB  - Eysoldt
CY  - Aachen
ER  - 
TY  - JOUR
A1  - Stiemer, Luc Nicolas
A1  - Thoma, Andreas
A1  - Braun, Carsten
T1  - MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation
JF  - PLoS ONE
N2  - This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8%, Faster R-CNN achieves AP = 45, 3% and RetinaNet AP = 38, 4% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker’s appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5% and a Multiple Object Tracking Precision MOTP = 75, 6% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.
Y1  - 2023
U6  - https://doi.org/10.1371/journal.pone.0291415
SN  - 1932-6203
N1  - Corresponding author: Luc Nicolas Stiemer
VL  - 18
IS  - 9
PB  - PLOS
CY  - San Fancisco
ER  -