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 2021: 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  - http://dx.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  - CHAP
A1  - Ferrein, Alexander
A1  - Meeßen, Marcus
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
ED  - Lepuschitz, Wilfried
T1  - Compiling ROS Schooling Curricula via Contentual Taxonomies
T2  - Robotics in Education
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - http://dx.doi.org/10.1007/978-3-030-67411-3_5
N1  - RiE: International Conference on Robotics in Education (RiE);
Advances in Intelligent Systems and Computing book series (AISC, volume 1316)
SP  - 49
EP  - 60
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Hofmann, Till
A1  - Mataré, Victor
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Constraint-based online transformation of abstract plans into executable robot actions
T2  - Proceedings of the 2018 AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy
Y1  - 2018
SP  - 549
EP  - 553
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - Decision-Theoretic Planning with Linguistic Terms in Golog
T2  - FLinAl 2015 - Fuzzy Logic in Artificial Intelligence : Proceedings of the Workshop on Fuzzy Logic in AI (FLinAI-15) co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) Buenos Aires, Argentina, July 25, 2015.
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-1424-4
SN  - 1613-0073
ER  - 
TY  - CHAP
A1  - Scholl, Ingrid
A1  - Suder, Sebastian
A1  - Schiffer, Stefan
T1  - Direct Volume Rendering in Virtual Reality
T2  - Bildverarbeitung für die Medizin 2018
Y1  - 2018
SN  - 978-3-662-56537-7
U6  - http://dx.doi.org/10.1007/978-3-662-56537-7_79
SP  - 297
EP  - 302
PB  - Springer Vieweg
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Fuzzy representations and control for domestic service robots in Golog
T2  - Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)
Y1  - 2011
SN  - 978-3-642-25486-4
SP  - 241
EP  - 250
ER  - 
TY  - CHAP
A1  - Mataré, Victor
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
ED  - Steinbauer, Gerald
ED  - Ferrein, Alexander
T1  - golog++ : An integrative system design
T2  - CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018
Y1  - 2019
SN  - 1613-0073
SP  - 29
EP  - 35
ER  - 
TY  - CHAP
A1  - Kirsch, Maximilian
A1  - Mataré, Victor
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - Integrating golog++ and ROS for Practical and Portable High-level Control
T2  - 12th International Conference on Agents and Artificial Intelligence
Y1  - 2020
U6  - http://dx.doi.org/10.5220/0008984406920699
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Niemüller, Tim
A1  - Schiffer, Stefan
A1  - Lakemeyer, Gerhard
ED  - Boots, Byron
T1  - Lessons learnt from developing the embodied AI platform CAESAR for domestic service robotics
T2  - Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)
Y1  - 2013
SN  - 9781577356011
SP  - 21
EP  - 26
ER  - 
TY  - CHAP
A1  - Nikolovski, Gjorgji
A1  - Reke, Michael
A1  - Elsen, Ingo
A1  - Schiffer, Stefan
T1  - Machine learning based 3D object detection for navigation in unstructured environments
T2  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)
N2  - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.
KW  - 3D object detection
KW  - LiDAR
KW  - autonomous driving
KW  - Deep learning
KW  - Three-dimensional displays
Y1  - 2021
SN  - 978-1-6654-7921-9
U6  - http://dx.doi.org/10.1109/IVWorkshops54471.2021.9669218
N1  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021,  Nagoya, Japan.
SP  - 236
EP  - 242
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - Optimized KinectFusion Algorithm for 3D Scanning Applications
T2  - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING
Y1  - 2018
SN  - 978-989-758-278-3
U6  - http://dx.doi.org/10.5220/0006594700500057
SP  - 50
EP  - 57
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
A1  - Kallweit, Stephan
T1  - The ROSIN Education Concept - Fostering ROS Industrial-Related Robotics Education in Europe
T2  - ROBOT 2017: Third Iberian Robotics Conference
Y1  - 2018
SN  - 978-3-319-70836-2
U6  - http://dx.doi.org/10.1007/978-3-319-70836-2_31
N1  - Advances in Intelligent Systems and Computing, vol 694;
(AISC, volume 694)
SP  - 370
EP  - 381
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Bharatheesha, Mukunda
A1  - Schiffer, Stefan
A1  - Corbato, Carlos Hernandez
T1  - TRROS 2018 :  Teaching Robotics with ROS Workshop at ERF 2018;  Proceedings of the Workshop on Teaching Robotics with ROS (held at ERF 2018), co-located with European Robotics Forum 2018 (ERF 2018), Tampere, Finland, March 15th, 2018
T2  - CEUR Workshop Proceedings
Y1  - 2019
SN  - 1613-0073
IS  - Vol-2329
ER  -