Loosely Coupled Stereo VINS Based on Point-Line Features Tracking with Feedback Loops
Z. Linchuan, Y. Huilin, Y. Wei, Y. Jun, Z. Hao, J. Betz
IEEE Transactions on Vehicular Technology
doi: 10.1109/TVT.2024.3370732, Paper, Video, Code
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control
B. Zarrouki, C. Wang, J. Betz
IEEE American Control Conference (ACC) 2024
doi: , Paper, Video, Code
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios
D. Wang, L. Zheyuan, Y. Li, Y. Wu, Y. Ma, J. Betz, R. Yang, W. Li
IEEE International Conference on Robotics and Automation (ICRA) 2024
doi: , Paper, Video, Project Website, Dataset
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application.
P. Karle, T. Betz, M. Bosk, F. Fent, N. Gehrke, M. Geisslinger, L. Gressenbuch, P. Hafemann, S. Huber, M. Hübner, S. Huch, G. Kaljavesi, T. Kerbl, D. Kulmer, T. Mascetta, S. Maierhofer, F. Pfab, F. Rezabek, E. Rivera, S. Sagmeister, L. Seidlitz, F. Sauerbeck, I. Tahiraj, R. Trauth, N. Uhlemann, G. Würsching, B. Zarrouki, M. Althoff, J. Betz, K. Bengler, G. Carle, F. Diermeyer, J. Ott, M. Lienkamp
doi: 10.48550/arXiv.2309.15492, Paper, Video, Code
Auto-tuning Dynamics Parameters of Intelligent Electric Vehicles via Bayesian Optimization
Y. Wang, R. Lian, H. He, J. Betz, and H. Wei
IEEE Transactions on Transportation Electrification, pp. 1–1, 2024
doi: 10.1109/tte.2023.3346874 , Paper, Video
Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor
B. D. Evans, J. Betz, H. Zheng, H. A. Engelbrecht, R. Mangharam, and H. W. Jordaan
IEEE 21st International Conference on Advanced Robotics (ICAR)
doi: 10.1109/icar58858.2023.10406465, Paper, Video, Code
Toward Safer Autonomous Vehicles: Occlusion-Aware Trajectory Planning to Minimize Risky Behavior
R. Trauth, K. Moller, and J. Betz
IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 929–942, 2023
doi: 10.1109/ojits.2023.3336464, Paper, Video
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving
F.Sauerbeck, D. Kulmer, M. Pielmeier, M. Leitenstern, C. Weiß, J. Betz
IEEE Sensors 2023
doi: 10.1109/sensors56945.2023.10325207, Paper, Video
Timing-Aware ROS2 Architecture and System Optimization
H. Teper, T. Betz, G. Brüggen, K. Chen, J. Betz, J. Chen
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications(RTCSA’23)
doi: 10.1109/RTCSA58653.2023.00032, Paper, Video
Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment
H. Yin, M. Sun, L. Zhang, J. Yan, J. Betz
IEEE International Conference on Intelligent Transportation Systems (ITSC), In Print
Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature
F. Poszler, M. Geisslinger, J. Betz, C. Lütge
Technology in Society, vol. 75. Elsevier BV, p. 102350, Nov. 2023
doi: 10.1016/j.techsoc.2023.102350, PDF, Video
CamRaDepth: Semantic Guided Depth Estimation Using Monocular Camera and Sparse Radar for Automotive Perception
F. Sauerbeck, D. Halperin, L. Connert, J. Betz
IEEE Sensors Journal, pp. 1–1, 2023
doi: 10.1109/jsen.2023.3321886, PDF, Video
Learn to See Fast: Lessons Learned from Autonomous Racing on How to Develop Perception Systems
F. Sauerbeck, S. Huch, F. Fent, P. Karle, D. Kulmer, J. Betz
IEEE Access, pp. 1–1, 2023
doi: 10.1109/access.2023.3272750, PDF
How Fast is My Software? Latency Evaluation for a ROS2 Autonomous Driving Software
T. Betz, M. Schmeller, H. Teper, J. Betz
IEEE Intelligent Vehicle Symposium (IV), June 2023
doi: 10.1109/IV55152.2023.10186585, PDF, Video
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction
T. Betz, M. Schmeller, A. Korb, J. Betz
IEEE Intelligent Vehicle Symposium (IV), June 2023
doi: 10.1109/IV55152.2023.10186686, PDF, Video
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles
S. Huch, F. Sauerbeck, J. Betz
IEEE Intelligent Vehicles Symposim (IV), June 2023
doi: 10.1109/IV55152.2023.10186768, PDF, Video
A Benchmark Comparison of Imitation Learning-Based Control Policies for Autonomous Racing
X. Sun, M. Zhou, Z. Zhuang, S. Yang, J. Betz, R. Mangharam
IEEE Intelligent Vehicles Symposim (IV), June 2023
doi: 10.1109/IV55152.2023.10186780, PDF
Learning and Adapting Behavior of Autonomous Vehicles Through Inverse Reinforcement Learning
R. Trauth, M. Kaufeld, M. Geisslinger, J. Betz
IEEE Intelligent Vehicles Symposim (IV), June 2023
doi: 10.1109/IV55152.2023.10186668, PDF
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Map
F. Sauerbeck, B. Obermeier, M. Rudolph, J. Betz
IEEE 3rd International Conference on Computer, Control and Robotics (ICCCR), March 2023
doi: 10.1109/icccr56747.2023.10194045, PDF
End-to-End Optimization of Autonomous Vehicle Software Parameters
R. Trauth, P. Karle, T. Betz, J. Betz
IEEE 3rd International Conference on Computer, Control and Robotics (ICCCR), March 2023
doi: 10.1109/ICCCR56747.2023.10193889, PDF
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks
Z. Zang, H. Zheng, J. Betz, R. Mangharam
2023 IEEE International Conference on Robotics and Automation (ICRA), May 2023
doi: 10.1109/ICRA48891.2023.10161015, PDF, Video
An Analysis of Software Latency for a High-Speed Autonomous Race Car – A Case Study in the Indy Autonomous Challenge
T. Betz, P. Karle, F. Werner, J. Betz
SAE International Journal of Connected and Automated Vehicles, vol. 6, no. 3. SAE International, 2023.
doi: 10.4271/12-06-03-0018, PDF
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
J. Betz, T. Betz, F. Fent, M. Geisslinger, A. Heilmeier, L. Hermansdorfer, et al.
Journal of Field Robotics, 1– 27, 2023.
doi: https://doi.org/10.1002/rob.22153, PDF, Video
TireEye: Optical On-board Tire Wear Detection
S. Huber, P. Preindl, and J. Betz
Annual Conference of the PHM Society, vol. 14, no. 1. PHM Society, Oct. 28, 2022.
doi: 10.36001/phmconf.2022.v14i1.3242, PDF
Combinatorial and Parametric Gradient-Free Optimization for Cyber-Physical System Design
H. Zheng, J. Betz, A. Ramamurthy, H. Jin, and R. Mangharam
2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION), May 2022
doi: 10.1109/destion56136.2022.00012, PDF
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits
A. Wischnewski, M. Geisslinger, J. Betz, et al.
Pfeffer, P. (eds) 12th International Munich Chassis Symposium 2021. Proceedings. Springer Vieweg, Berlin, Heidelberg., pp. 163–182, 2022
doi: 10.1007/978-3-662-64550-5_10, PDF
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles
J. Bhargav, J. Betz, H. Zheng, and R. Mangharam
2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022
doi: 10.1109/COMSNETS53615.2022.9668548, PDF
Winning the 3rd Japan Automotive AI Challenge--Autonomous Racing with the Autoware. Auto Open Source Software Stack
Z. Zang, R. Tumu, J. Betz, H. Zheng, R. Mangharam
IEEE Intelligent Vehicles Symposium (IV 22), 2022
Doi: 10.1109/IV51971.2022.9827162, PDF
Wheel Speed Is All You Need: How to Efficiently Detect Automotive Damper Defects Using Frequency Analysis
S. Huber, J. Betz, M. Lienkamp
IEEE Intelligent Vehicles Symposium (IV 22), 2022
doi: 10.1109/IV51971.2022.9827269, PDF
Stress Testing Autonomous Racing Overtake Maneuvers with RRT
S. Bak, J. Betz, A. Chawla, H. Zheng, R. Mangharam
IEEE Intelligent Vehicles Symposium (IV 22), 2022
doi: 10.1109/IV51971.2022.9827237, PDF
Drive Right: Autonomous Vehicle Education through an Integrated Simulation Platform
Z. Qiao, H. Loeb, V. Gurrla, M. Lebermann, J. Betz, and R. Mangharam,
SAE International Journal of Connected and Automated Vehicles, vol. 5, no. 4., Apr. 13, 2022
doi: 10.4271/12-05-04-0028, PDF
Autonomous vehicles on the edge: A survey on autonomous vehicle racing
J. Betz, H. Zheng, A. Liniger, U. Rosolia, P. Karle, M. Behl, V. Krovi, R. Mangharam
IEEE Open Journal of Intelligent Transportation Systems, vol. 3., pp. 458–488 2022
doi: 10.1109/ojits.2022.3181510, PDF
Scenario Understanding and Motion Prediction for Autonomous Vehicles—Review and Comparison
P. Karle, M. Geisslinger, J. Betz, and M. Lienkamp,
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10., pp. 16962–16982, Oct. 2022
doi: 10.1109/tits.2022.3156011, PDF
A Combined LiDAR-Camera Localization for Autonomous Race Cars
F. Sauerbeck, L. Baierlein, J. Betz, M. Lienkamp
SAE International Journal of Connected and Automated Vehicles, vol. 5, no. 1, Jan. 2022
doi: 10.4271/12-05-01-0006, PDF
Optimization-Based Real-Time-Capable Energy Strategy for Autonomous Electric Race Cars
T. Herrmann, F. Sauerbeck, M. Bayerlein, J. Betz, and M. Lienkamp
SAE International Journal of Connected and Automated Vehicles, vol. 5, no. 1., pp. 45–59, Jan. 10, 2022
doi: 10.4271/12-05-01-0005, PDF
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction
M. Geisslinger, P. Karle, J. Betz, and M. Lienkamp, “
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021.
doi: 10.1109/smc52423.2021.9659079, PDF
Unified Mobility Estimation Model
D. Ziegler, J. Betz, M. Lienkamp
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
doi: 10.1109/itsc48978.2021.9564453, PDF
Track based offline policy learning for overtaking maneuvers with autonomous racecars
J. Bhargav, J. Betz, H. Zheng, and R. Mangharam
2021 IEEE International Conference on Robotics and Automation (ICRA 2021) – Workshop Opportunities and Challenges With Autonomous Racing, 2021
doi: arxiv.org/abs/2107.09782, PDF
Radar Voxel Fusion for 3D Object Detection
F. Nobis, E. Shafiei, P. Karle, J. Betz, M. Lienkamp
Applied Sciences, vol. 11, no. 12, p. 5598, 2021
doi: 10.3390/app11125598, PDF
Autonomous Driving Ethics: from Trolley Problem to Ethics of Risk
M. Geisslinger, F. Poszler, J. Betz, C. Luetge and M. Lienkamp
Philosophy & Technology, vol. 34, no. 4. Springer Science and Business Media LLC, pp. 1033–1055, Apr. 12, 2021
doi: 10.1007/s13347-021-00449-4, PDF
Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation
F. Nobis, F. Fent, J. Betz, and M. Lienkamp
Applied Sciences, vol. 11, no. 6, p. 2599, 2021
doi: 10.3390/app11062599, PDF
Multi-Task End-to-End Self-Driving Architecture for CAV Platoons
S. Huch, A. Ongel, J. Betz, and M. Lienkamp
Sensors, vol. 21, no. 4, p. 1039, 2021
doi: 10.3390/s21041039, PDF
Real-Time Adaptive Velocity Optimization for Autonomous Electric Race Cars
T. Herrmann, A. Wischnewski, L. Hermansdorfer, J. Betz, M. Lienkamp
IEEE Transactions on Intelligent Vehicles, vol. 6, no. 4., pp. 665–677, Dec. 2021
doi: 10.1109/TIV.2020.3047858, PDF
Virtual Strategy Engineer: Using Artificial Neural Networks for Making Race Strategy Decisions in Circuit Motorsport
A. Heilmeier, A. Thomaser, M. Graf, J. Betz
Applied Sciences, vol. 10, no. 21, p. 7805, Nov. 2020
doi: 10.3390/app10217805, PDF
Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport
A. Heilmeier, M. Graf, J. Betz, M. Lienkamp
Applied Sciences, vol. 10, no. 12, p. 4229, Jun. 2020
doi: 10.3390/app10124229, PDF
End-to-End Neural Network for Vehicle Dynamics Modeling – Best Paper Award
L. Hermansdorfer, R. Trauth, J. Betz, M. Lienkamp
3rd IEEE Conference on Optimization and Modeling of Complex Systems, Agadir, Morocco, December 2020, 2020
doi: 10.1109/cist49399.2021.9357196, PDF
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing
A. Wischnewski, J. Betz, and B. Lohmann
2020 59th IEEE Conference on Decision and Control (CDC), 2020
doi: 10.1109/cdc42340.2020.9304230, PDF
Techno-Economic Analysis of State-of-the-Art Charging Infrastructure Concepts for Typical Commercial Battery Electric Vehicle Fleets
A. Waclaw, F. Gotzler, J. Betz
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
doi: 10.1109/itsc45102.2020.9294197, PDF
Online Verification Concept for Autonomous Vehicles – Illustrative Study for a Trajectory Planning Module
T. Stahl, M. Eicher, J. Betz, and F. Diermeyer
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
doi: 10.1109/ITSC45102.2020.9294703, PDF
Exploring the Capabilities and Limits of 3D Monocular Object Detection – A Study on Simulation and Real World Data
F. Nobis, F. Brunhuber, S. Janssen, J. Betz, and M. Lienkamp
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
doi: 10.1109/ITSC45102.2020.9294625, PDF
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar
T. Herrmann, F. Passigato, J. Betz, and M. Lienkamp
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
doi: 10.1109/ITSC45102.2020.9294681, PDF
An Open-Source Scenario Architect for Autonomous Vehicles
T. Stahl and J. Betz
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020
doi: 10.1109/ever48776.2020.9243029, PDF
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM 2 Extension
F. Nobis, O. Papanikolaou, J. Betz, and M. Lienkamp
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020
doi: 10.1109/ever48776.2020.9243094, PDF
Importance of Contextual Information for the Detection of Road Damages
K. Riedl, S. Huber, M. Bomer, J. Kreibich, F. Nobis, and J. Betz
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020
doi: 10.1109/ever48776.2020.9242954, PDF
Benchmarking of a software stack for autonomous racing against a professional human race driver
L. Hermansdorfer, J. Betz, and M. Lienkamp
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020
doi: 10.1109/ever48776.2020.9242926, PDF
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
F. Nobis, M. Geisslinger, M. Weber, J. Betz, and M. Lienkamp
2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2019
doi: 10.1109/SDF.2019.8916629, PDF
A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling
J. Betz, A. Wischnewski, A. Heilmeier, F. Nobis, T. Stahl, L. Hermansdorfer, T. Herrmann, M. Lienkamp
2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019
doi: 10.1109/ICCVE45908.2019.8965238, PDF
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar
A. Wischnewski, J. Betz, and B. Lohmann
2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019
doi: 10.1109/ICCVE45908.2019.8965218, PDF
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control
T. Herrmann, F. Christ, J. Betz, and M. Lienkamp
2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019
doi: 10.1109/ITSC.2019.8917154, PDF
A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar
L. Hermansdorfer, J. Betz, and M. Lienkamp
2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019
doi: 10.1109/ITSC.2019.8917024, PDF
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios
T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp
2019 IEEE Intelligent Transportation Systems Conference – ITSC, 2019
doi: 10.1109/itsc.2019.8917032, PDF
Autonomous Driving—A Crash Explained in Detail
J. Betz, A. Heilmeier, A. Wischnewski, T. Stahl and M. Lienkamp
Applied Sciences, vol. 9, no. 23, p. 5126, 2019
doi: 10.3390/app9235126, PDF
SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines
P. R. Palafox, J. Betz, F. Nobis, K. Riedl, and M. Lienkamp
Sensors, vol. 19, no. 14, p. 3224, 2019
doi: 10.3390/s19143224, PDF
Minimum curvature trajectory planning and control for an autonomous race car
A. Heilmeier, A. Wischnewski, L. Hermansdorfer, J. Betz, M. Lienkamp, B. Lohmann
Vehicle System Dynamics, vol. 58, no. 10, pp. 1497–1527, 2019
doi: 10.1080/00423114.2019.1631455, PDF
Vehicle Dynamics State Estimation and Localization for High Performance Race Cars – Young Author Award
A. Wischnewski, T. Stahl, J. Betz, and B. Lohmann
IFAC-PapersOnLine, vol. 52, no. 8, pp. 154–161, 2019
doi: 10.1016/j.ifacol.2019.08.064, PDF
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich
K. Riedl, S. Kurscheid, A. Noll, J. Betz, and M. Lienkamp
2019 IEEE Intelligent Vehicles Symposium (IV), 2019
doi: 10.1109/IVS.2019.8814020, PDF
Techno-Economical Implementation of Holistic Electromobility Solutions in Commercial Companies
A. Waclaw, J. Betz, M. Lienkamp
2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2019
doi: 10.1109/EVER.2019.8813533, PDF
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars
A. Heilmeier, M. Geisslinger, and J. Betz
2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2019
doi: 10.1109/EVER.2019.8813646, PDF
A Software Architecture for an Autonomous Racecar
T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019
doi: 10.1109/VTCSpring.2019.8746367, PDF
ROS-based localization of a race vehicle at high-speed using LIDAR
T. Stahl, A. Wischnewski, J. Betz, and M. Lienkamp
E3S Web of Conferences, 2019
doi: 10.1051/e3sconf/20199504002, PDF
Autonomous Racing: A Comparison of SLAM Algorithms for Large Scale Outdoor Environments
F. Nobis, J. Betz, L. Hermansdorfer, and M. Lienkamp
ICVARS ’19: 2019 the 3rd International Conference on Virtual and Augmented Reality Simulations, 2019
doi: 10.1145/3332305.3332319, PDF
2018
What can we learn from autonomous level 5 Motorsport?
J. Betz, A. Wischnewski, A. Heilmeier, F. Nobis, T. Stahl, L. Hermansdorfer, B. Lohmann M. Lienkamp
Proceedings, Springer Fachmedien Wiesbaden, 2018
doi: 10.1007/978-3-658-22050-1_12, PDF
2017
A Holistic Framework for Acquisition, Processing and Evaluation of Vehicle Fleet Test Data
M. Wittmann, L. Lohrer, J. Betz, B. Jäger, M. Ott, M. Klöppel, M. Hann, M. Lienkamp
IEEE International Conference on Intelligent Transportation Systems (ITSC 17), 2017
doi: 10.1109/ITSC.2017.8317637, PDF
Analysis of the Charging Infrastructure for Battery Electric Vehicles in Commercial Companies
J. Betz, L. Walther, M. Lienkamp
IEEE Intelligent Vehicle Symposium (IV 17), 2017
doi: 10.1109/IVS.2017.7995945, PDF
Evaluation of the Potential of Integrating Battery Electric Vehicles into Commercial Companies on the Basis of Fleet Test Data
J. Betz, M. Hann, B. Jäger, M. Lienkamp
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017
doi: 10.1109/VTCSpring.2017.8108289, PDF
An evaluation of the car-free city potential for the city of Munich regarding mobility data
J. Betz, S. Prottung, and M. Lienkamp
2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2017
doi: 10.1109/ever.2017.7935875, PDF
2016
Evaluation of the potential of integrating battery electric vehicles into the energy structure of a commercial company
J. Betz, T. Scholz, and M. Lienkamp
2016 IEEE Smart Energy Grid Engineering (SEGE), 2016
doi: 10.1109/sege.2016.7589541, PDF
Fleet disposition modeling to maximize utilization of battery electric vehicles in companies with on-site energy generation
J. Betz, D. Werner, M. Lienkamp
Transportation Research Procedia, 2016
doi: 10.1016/j.trpro.2016.12.084, PDF
Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems
J. Betz and M. Lienkamp
Automot. Engine Technol., vol. 1, no. 1–4, pp. 107–117, 2016
doi: 10.1007/s41104-016-0008-y, PDF
2014
EE-Architektur für mobile Dienste
T. Tang, D. Soto-Setzke, C. Kohl, T. Köhn, J. Lohrer, and J. Betz
ATZ Extra, vol. 19, no. 14, pp. 40–45, 2014
doi: 10.1365/s35778-014-1356-8, PDF