TY  - CHAP
A1  - Elsen, Ingo
T1  - A pixel based approach to view based object recognition with self-organizing neural networks
T2  - IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society
N2  - This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.
Y1  - 1998
SN  - 0-7803-4503-7
U6  - https://doi.org/10.1109/IECON.1998.724032
N1  - Aachen, 31 August 1998 - 04 September 1998
SP  - 2040
EP  - 2044
PB  - IEEE
CY  - New York
ER  - 
TY  - CHAP
A1  - Elsen, Ingo
A1  - Kraiss, Karl-Friedrich
A1  - Krumbiegel, Dirk
T1  - Pixel based 3D object recognition with bidirectional associative memories
T2  - International Conference on Neural Networks 1997
N2  - This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.
Y1  - 1997
SN  - 0-7803-4122-8
N1  - June 9 - 12, 1997, Westin Galleria Hotel Houston, Texas, USA.
SP  - 1679
EP  - 1684
PB  - IEEE
CY  - New York
ER  - 
TY  - CHAP
A1  - Elsen, Ingo
A1  - Hawari, Asma
A1  - Johnen, Uwe
ED  - Pietsch, Wolfram
ED  - Krams, Benedikt
T1  - Produktkernel in der Systemintegration (Erfahrungsbericht aus der Praxis)
T2  - Vom Projekt zum Produkt - Fachtagung des GI-Fachausschusses Management der Anwendungsentwicklung und -wartung im Fachbereich Wirtschaftsinformatik (WI-MAW), 1. - 3. Dezember 2010 in Aachen
N2  - In der Vergangenheit basierten große Systemintegrationsprojekte in der Regel auf Individualentwicklungen für einzelne Kunden. Getrieben durch Kostendruck steigt aber der Bedarf nach standardisierten Lösungen, die gleichzeitig die individuellen Anforderungen des jeweiligen Umfelds berücksichtigen. T-Systems GEI GmbH wird beiden Anforderungen mit Produktkerneln gerecht. Neben den technischen Aspekten der Kernelentwicklung spielen besonders organisatorische Aspekte eine Rolle, um Kernel effizient und qualitativ hochwertig zu entwickeln, ohne deren Funktionalitäten ins Uferlose wachsen zu lassen. Umgesetzt hat T-Systems dieses Konzept für Flughafeninformationssysteme. Damit kann dem wachsenden Bedarf der Flughafenbetreiber nach einer effizienten und kostengünstigen Softwarelösung zur Unterstützung Ihrer Geschäftsprozesse entsprochen werden.
Y1  - 2010
SN  - 9783885792727
SN  - 1617-5468
SP  - 93
EP  - 102
PB  - Gesellschaft für Informatik eV
CY  - Bonn
ER  - 
TY  - JOUR
A1  - Elsen, Ingo
A1  - Hartung, Frank
A1  - Horn, Uwe
A1  - Kampmann, Markus
A1  - Peters, Liliane
ED  - Voas, Jeffrey
T1  - Streaming technology in 3G mobile communication systems
JF  - Computer : innovative technology for computer professionals
N2  - Third-generation mobile communication systems will combine standardized streaming with a range of unique services to provide high-quality Internet content that meets the specific needs of the rapidly growing mobile market.
Y1  - 2001
SN  - 0018-9162
SN  - 1558-0814
VL  - 34
IS  - 9 Seiten
SP  - 46
EP  - 52
PB  - IEEE
CY  - New York
ER  - 
TY  - THES
A1  - Elsen, Ingo
T1  - Ansichtenbasierte 3D-Objekterkennung mit erweiterten selbstorganisierenden Merkmalskarten
KW  - Dreidimensionale Bildverarbeitung
KW  - Objekterkennung
KW  - CCD-Bildwandler
KW  - Vorverarbeitung
KW  - Klassifikator <Informatik>
Y1  - 2000
SN  - 978-3-18-363110-0
SN  - 3-18-363110-5
SN  - 0341-1796
SN  - 0178-9627
N1  - Fortschritt-Berichte VDI : Reihe 10, Informatik, Kommunikation 631
PB  - VDI-Verlag
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Thoma, Andreas
A1  - Fisher, Alex
A1  - Braun, Carsten
T1  - Improving the px4 avoid algorithm by bio-inspired flight strategies
T2  - DLRK2020 - „Luft- und Raumfahrt – Verantwortung in allen Dimensionen“
Y1  - 2020
U6  - https://doi.org/10.25967/530183
N1  - Deutscher Luft- und Raumfahrtkongress 2020, 1. bis 3. September 2020 – Online, „Luft- und Raumfahrt – Verantwortung in allen Dimensionen“
ER  - 
TY  - JOUR
A1  - Thomessen, Karolin
A1  - Thoma, Andreas
A1  - Braun, Carsten
T1  - Bio-inspired altitude changing extension to the 3DVFH* local obstacle avoidance algorithm
JF  - CEAS Aeronautical Journal
N2  - Obstacle avoidance is critical for unmanned aerial vehicles (UAVs) operating autonomously. Obstacle avoidance algorithms either rely on global environment data or local sensor data. Local path planners react to unforeseen objects and plan purely on local sensor information. Similarly, animals need to find feasible paths based on local information about their surroundings. Therefore, their behavior is a valuable source of inspiration for path planning. Bumblebees tend to fly vertically over far-away obstacles and horizontally around close ones, implying two zones for different flight strategies depending on the distance to obstacles. This work enhances the local path planner 3DVFH* with this bio-inspired strategy. The algorithm alters the goal-driven function of the 3DVFH* to climb-preferring if obstacles are far away. Prior experiments with bumblebees led to two definitions of flight zone limits depending on the distance to obstacles, leading to two algorithm variants. Both variants reduce the probability of not reaching the goal of a 3DVFH* implementation in Matlab/Simulink. The best variant, 3DVFH*b-b, reduces this probability from 70.7 to 18.6% in city-like worlds using a strong vertical evasion strategy. Energy consumption is higher, and flight paths are longer compared to the algorithm version with pronounced horizontal evasion tendency. A parameter study analyzes the effect of different weighting factors in the cost function. The best parameter combination shows a failure probability of 6.9% in city-like worlds and reduces energy consumption by 28%. Our findings demonstrate the potential of bio-inspired approaches for improving the performance of local path planning algorithms for UAV.
KW  - UAV
KW  - Obstacle avoidance
KW  - Autonomy
KW  - Local path planning
Y1  - 2023
U6  - https://doi.org/10.1007/s13272-023-00691-w
SN  - 1869-5590 (Online)
SN  - 1869-5582 (Print)
N1  - Corresponding author: Karolin Thomessen
PB  - Springer
CY  - Wien
ER  - 
TY  - JOUR
A1  - Thoma, Andreas
A1  - Gardi, Alessandro
A1  - Fisher, Alex
A1  - Braun, Carsten
T1  - Improving local path planning for UAV flight in challenging environments by refining cost function weights
JF  - CEAS Aeronautical Journal
N2  - Unmanned Aerial Vehicles (UAV) constantly gain in versatility. However, more reliable path planning algorithms are required until full autonomous UAV operation is possible. This work investigates the algorithm 3DVFH* and analyses its dependency on its cost function weights in 2400 environments. The analysis shows that the 3DVFH* can find a suitable path in every environment. However, a particular type of environment requires a specific choice of cost function weights. For minimal failure, probability interdependencies between the weights of the cost function have to be considered. This dependency reduces the number of control parameters and simplifies the usage of the 3DVFH*. Weights for costs associated with vertical evasion (pitch cost) and vicinity to obstacles (obstacle cost) have the highest influence on the failure probability of the local path planner. Environments with mainly very tall buildings (like large American city centres) require a preference for horizontal avoidance manoeuvres (achieved with high pitch cost weights). In contrast, environments with medium-to-low buildings (like European city centres) benefit from vertical avoidance manoeuvres (achieved with low pitch cost weights). The cost of the vicinity to obstacles also plays an essential role and must be chosen adequately for the environment. Choosing these two weights ideal is sufficient to reduce the failure probability below 10%.
KW  - Bio-inspired systems
KW  - Path planning
KW  - Obstacle avoidance
KW  - Unmanned aerial vehicles
Y1  - 2024
U6  - https://doi.org/10.1007/s13272-024-00741-x
SN  - 1869-5590 (eISSN)
SN  - 1869-5582
N1  - Corresponding author: Andreas Thoma
PB  - Springer
CY  - Wien
ER  - 
TY  - CHAP
A1  - Dey, Thomas
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Frauenrath, Tobias
A1  - Reke, Michael
A1  - Schiffer, Stefan
ED  - Makedon, Fillia
T1  - CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom
T2  - PETRA '21: Proceedings of the 14th Pervasive Technologies Related to Assistive Environments Conference
N2  - In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
KW  - embedded hardware
KW  - sensor networks
KW  - information systems
KW  - education
KW  - do-it-yourself
Y1  - 2021
SN  - 9781450387927
U6  - https://doi.org/10.1145/3453892.3462697
N1  - PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference Corfu Greece 29 June 2021- 2 July 2021
SP  - 292
EP  - 299
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - JOUR
A1  - Schückhaus, Ulrich
T1  - Die SkyCab-Erfinder im WFMG-Interview
JF  - Business in MG
Y1  - 2020
N1  - Interview von WFMG – Wirtschaftsförderung Mönchengladbach GmbH, vertreten durch Dr. Ulrich Schückhaus
IS  - 1
SP  - 6
EP  - 7
ER  -