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Dr. Michael Nolting
Dr. Michael Nolting
Volkswagen AG, Lecturer at University of Hannover, Germany
Verified email at volkswagen.de - Homepage
Title
Cited by
Cited by
Year
Spatial partitioning in self-organizing smart camera systems
M Hoffmann, M Wittke, JÖ Hahner, C Muller-Schloer
IEEE Journal of Selected Topics in Signal Processing 2 (4), 480-492, 2008
412008
Dmctrac: Distributed multi camera tracking
M Hoffmann, M Wittke, Y Bernard, R Soleymani, J Hahner
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 1-10, 2008
202008
Optimization of future charging infrastructure for commercial electric vehicles using a multi-objective genetic algorithm and real travel data
L Zeng, T Krallmann, A Fiege, M Stess, T Graen, M Nolting
Evolving Systems 11, 241-254, 2020
182020
Do you just discuss or do you solve? meeting analysis in a software project at early stages
J Klünder, N Prenner, AK Windmann, M Stess, M Nolting, F Kortum, ...
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
162020
Multi-object tracking using feed-forward neural networks
U Jänen, C Paul, M Wittke, J Hähner
2010 International Conference of Soft Computing and Pattern Recognition, 176-181, 2010
152010
Künstliche intelligenz in der automobilindustrie
M Nolting
Springer Vieweg, 2021
132021
Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data
T Krallmann, M Doering, M Stess, T Graen, M Nolting
2018 IEEE conference on evolving and adaptive intelligent systems (EAIS), 1-8, 2018
122018
MIDSCA: Towards a Smart Camera architecture of mobile internet devices
M Wittke, M Hoffmann, J Hahner, C Muller-Schloer
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 1-10, 2008
112008
On the importance of contextual information for building reliable automated driver identification systems
L Zeng, M Al-Rifai, S Chelaru, M Nolting, W Nejdl
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
92020
Triplet loss for effective deployment of deep learning based driver identification models
L Zeng, M Al-Rifai, M Nolting, W Nejdl
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
62021
Activity recognition using optical sensors on mobile phones
M Wittke, U Jänen, A Duraslan, E Cakar, M Steinberg, J Brehm
Informatik 2009–Im Focus das Leben, 2009
62009
Towards sub-maneuver selection for automated driver identification
KS Wowo, M Nolting, N Tempelmeier
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
52022
Towards organic active vision systems for visual surveillance
M Wittke, C Grenz, J Hähner
Architecture of Computing Systems-ARCS 2011: 24th International Conference …, 2011
52011
Autonomes Fahren und Künstliche Intelligenz
M Nolting, M Nolting
Künstliche Intelligenz in der Automobilindustrie: Mit KI und Daten vom …, 2021
32021
Design and evaluation of a notification system for alarm management in Distributed Vision Networks
M Hoffmann, M Wittke, J Hahner
2009 29th IEEE International Conference on Distributed Computing Systems …, 2009
32009
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories
N Henke, S Wonsak, P Mitra, M Nolting, N Tempelmeier
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 79-91, 2023
22023
Multi-Modal Motion Prediction with Graphormers
S Wonsak, M Al-Rifai, M Nolting, W Nejdl
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
22022
Challenges in the Development of Mobile Online Services in the Automotive Industry-A Case Study
N Prenner, J Klünder, M Nolting, O Sniehotta, K Schneider
2021 IEEE/ACM Joint 15th International Conference on Software and System …, 2021
22021
When fast means more hassle: Online deliveries revisited
DE Brylla, G Walsh, M Nolting, J Roth
22021
Ojo: Fuzzy logic based digital health coaching for scalable diabetes prevention
M Nolting, U Wittke
Proceedings of the 13th EAI International Conference on Pervasive Computing …, 2019
22019
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