@article{Hanrath1989,
  author    = {Hanrath, Wilhelm},
  title     = {Character tables of some factor groups of space groups},
  series = {Perfect groups / Derek F. Holt and W. Plesken},
  journal   = {Perfect groups / Derek F. Holt and W. Plesken},
  publisher = {Clarendon Press},
  address   = {Oxford},
  isbn      = {0-19-853559-7},
  pages     = {357 -- 359},
  year      = {1989},
  language  = {en}
}
@inproceedings{LuftGebhardtBalc2019,
  author    = {Luft, Angela and Gebhardt, Andreas and Balc, Nicolae},
  title     = {Challenges of additive manufacturing in production systems},
  series = {Modern technologies in manufacturing (MTeM 2019)},
  volume    = {299},
  booktitle = {Modern technologies in manufacturing (MTeM 2019)},
  number    = {Article 01003},
  doi       = {10.1051/matecconf/201929901003},
  pages     = {6 Seiten},
  year      = {2019},
  language  = {en}
}
@article{HaagZontarSchleupenetal.2014,
  author    = {Haag, S. and Zontar, D. and Schleupen, Josef and M{\"u}ller, T. and Brecher, C.},
  title     = {Chain of refined perception in self-optimizing assembly of micro-optical systems},
  series = {Journal of sensors and sensor systems},
  volume    = {3},
  journal   = {Journal of sensors and sensor systems},
  number    = {1},
  publisher = {Copernicus Publ.},
  address   = {G{\"o}ttingen},
  issn      = {2194-878X},
  doi       = {10.5194/jsss-3-87-2014},
  pages     = {87 -- 95},
  year      = {2014},
  abstract  = {Today, the assembly of laser systems requires a large share of manual operations due to its complexity regarding the optimal alignment of optics. Although the feasibility of automated alignment of laser optics has been shown in research labs, the development effort for the automation of assembly does not meet economic requirements - especially for low-volume laser production. This paper presents a model-based and sensor-integrated assembly execution approach for flexible assembly cells consisting of a macro-positioner covering a large workspace and a compact micromanipulator with camera attached to the positioner. In order to make full use of available models from computer-aided design (CAD) and optical simulation, sensor systems at different levels of accuracy are used for matching perceived information with model data. This approach is named "chain of refined perception", and it allows for automated planning of complex assembly tasks along all major phases of assembly such as collision-free path planning, part feeding, and active and passive alignment. The focus of the paper is put on the in-process image-based metrology and information extraction used for identifying and calibrating local coordinate systems as well as the exploitation of that information for a part feeding process for micro-optics. Results will be presented regarding the processes of automated calibration of the robot camera as well as the local coordinate systems of part feeding area and robot base.},
  language  = {en}
}
@article{Pfaff2023,
  author    = {Pfaff, Raphael},
  title     = {Braking distance prediction for vehicle consist in low-speed on-sight operation: a Monte Carlo approach},
  series = {Railway Engineering Science},
  volume    = {31},
  journal   = {Railway Engineering Science},
  number    = {2},
  publisher = {SpringerOpen},
  issn      = {2662-4753 (eISSN)},
  doi       = {10.1007/s40534-023-00303-7},
  pages     = {135 -- 144},
  year      = {2023},
  abstract  = {The first and last mile of a railway journey, in both freight and transit applications, constitutes a high effort and is either non-productive (e.g. in the case of depot operations) or highly inefficient (e.g. in industrial railways). These parts are typically managed on-sight, i.e. with no signalling and train protection systems ensuring the freedom of movement. This is possible due to the rather short braking distances of individual vehicles and shunting consists. The present article analyses the braking behaviour of such shunting units. For this purpose, a dedicated model is developed. It is calibrated on published results of brake tests and validated against a high-definition model for low-speed applications. Based on this model, multiple simulations are executed to obtain a Monte Carlo simulation of the resulting braking distances. Based on the distribution properties and established safety levels, the risk of exceeding certain braking distances is evaluated and maximum braking distances are derived. Together with certain parameters of the system, these can serve in the design and safety assessment of driver assistance systems and automation of these processes.},
  language  = {en}
}
@article{FeldmannPakGessleretal.2006,
  author    = {Feldmann, Markus and Pak, Daniel and Geßler, Achim and Dilthey, Ulrich and Schleser, Markus},
  title     = {Bonded connections for textile reinforced concrete structures},
  series = {Cailiao-gongcheng = Journal of materials engineering},
  journal   = {Cailiao-gongcheng = Journal of materials engineering},
  number    = {Special iss.},
  issn      = {1001-4381},
  pages     = {123 -- 127},
  year      = {2006},
  language  = {en}
}
@article{KesslerBalcGebhardtetal.2015,
  author    = {Kessler, Julia and Balc, Nicolae and Gebhardt, Andreas and Abbas, Karim},
  title     = {Basic Research on Lattice Structures Focused on the Tensile Strength},
  series = {Applied Mechanics and Materials},
  volume    = {Vol. 808},
  journal   = {Applied Mechanics and Materials},
  publisher = {Trans Tech Publications},
  address   = {B{\"a}ch},
  issn      = {1662-7482},
  doi       = {10.4028/www.scientific.net/AMM.808.193},
  pages     = {193 -- 198},
  year      = {2015},
  language  = {en}
}
@inproceedings{KesslerBalcGebhardt2016,
  author    = {Kessler, Julia and Balc, Nicolae and Gebhardt, Andreas},
  title     = {Basic research on lattice structures focused on the strut shape and welding beads},
  series = {Physics Procedia},
  volume    = {Vol. 83},
  booktitle = {Physics Procedia},
  issn      = {1875-3884},
  doi       = {10.1016/j.phpro.2016.08.086},
  pages     = {833 -- 838},
  year      = {2016},
  language  = {en}
}
@inproceedings{KesslerBalcGebhardtetal.2017,
  author    = {Kessler, Julia and Balc, Nicolae and Gebhardt, Andreas and Abbas, Karim},
  title     = {Basic research on lattice structures focused on the reliance of the cross sectional area and additional coatings},
  series = {The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 - CoSME'16},
  booktitle = {The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 - CoSME'16},
  edition   = {Vol. 94},
  doi       = {10.1051/matecconf/20179403008},
  pages     = {7 S.},
  year      = {2017},
  language  = {en}
}
@inproceedings{AbbasThurnKessleretal.2019,
  author    = {Abbas, Karim and Thurn, Laura and Kessler, Julia and Eichler, Fabian},
  title     = {Basic research of the consideration of additive manufactured lattice structures under thermoand fluid dynamic loads},
  series = {Modern technologies in manufacturing (MTeM 2019)},
  volume    = {299},
  booktitle = {Modern technologies in manufacturing (MTeM 2019)},
  number    = {Article 01009},
  doi       = {10.1051/matecconf/201929901009},
  pages     = {8 Seiten},
  year      = {2019},
  language  = {en}
}
@incollection{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib},
  title     = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation},
  series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  publisher = {IOS Press},
  address   = {Amsterdam},
  isbn      = {978-1-64368-137-5},
  doi       = {10.3233/FAIA200770},
  pages     = {89 -- 97},
  year      = {2020},
  abstract  = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.},
  language  = {en}
}