Bernard Bäker

Orcid: 0000-0003-1595-1848

According to our database1, Bernard Bäker authored at least 24 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Automotive Digital Twins: A Traversal Algorithm for Virtual Testing of Software over-the-air Updates.
Proceedings of the IEEE International Conference on Mechatronics, 2023

2021
Improved active output selection strategy for noisy environments.
CoRR, 2021

Comparative Case Study of a Metamodel-Based Electric Vehicle Powertrain Design.
IEEE Access, 2021

Active Output Selection Strategies for Multiple Learning Regression Models.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Robust Data-Driven Error Compensation for a Battery Model.
CoRR, 2020

Space-Filling Subset Selection for an Electric Battery Model.
CoRR, 2020

2019
A Two-Level MPC for Energy Management Including Velocity Control of Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2019

Unsupervised Data-Driven Automotive Diagnostics with Improved Deep Temporal Clustering.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Hyperparameter Optimization for Deep Reinforcement Learning in Vehicle Energy Management.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018
Optimal Energy Management and Velocity Control of Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2018

Influence of Measurement and Prediction Uncertainties on Range Estimation for Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2018

Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Deep Reinforcement Learning for Advanced Energy Management of Hybrid Electric Vehicles.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management.
Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

2017
Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting.
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

Computationally efficient velocity and power split control of hybrid electric vehicles.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2015
Energy-efficient routing strategies based on real-time data of a local traffic management center.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

Microscopic real-time traffic simulations to support advanced driver assistance systems.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

2014
Anwendung der Variationsrechnung für Steuerungsaufgaben im Kraftfahrzeug.
Autom., 2014

2013
High-gain feedback stability of a nonlinear drivetrain system.
Proceedings of the 12th European Control Conference, 2013

2011
ElisaTM - Car to infrastructure communication in the field.
Comput. Networks, 2011

Efficiency-increasing driver assistance at signalized intersections using predictive traffic state estimation.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2003
A Probabilistic Vehicle Diagnostic System Using Multiple Models.
Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, 2003


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