Steffen Müller

Orcid: 0000-0002-7831-7695

Affiliations:
  • TU Berlin, Berlin, Germany


According to our database1, Steffen Müller authored at least 26 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Situation Awareness for Driver-Centric Driving Style Adaptation.
CoRR, 2024

Steering Feedback in Dynamic Driving Simulators: The Influence of Steering Wheel Vibration and Vehicle Motion Frequency.
CoRR, 2024

Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study.
CoRR, 2024

Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance.
CoRR, 2024

2023
Reliability of Deep Neural Networks for an End-to-End Imitation Learning-Based Lane Keeping.
IEEE Trans. Intell. Transp. Syst., December, 2023

Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Real-Time Ray-Tracing-Based Simulation of Motion Distortion Effect on LiDAR.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Corrections to "Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios".
IEEE Trans. Intell. Transp. Syst., 2022

Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022

JUPITER - ROS based Vehicle Platform for Autonomous Driving Research.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2022

Analysis of Real-Time LiDAR Sensor Simulation for Testing Automated Driving Functions on a Vehicle-in-the-Loop Testbench.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Transfer Importance Sampling - How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2020
Robust Model Predictive Longitudinal Position Tracking Control for an Autonomous Vehicle Based on Multiple Models.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Assistance Systems for Driver Interventions in Critical Situations during Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

A Multi Model Neural Network Approach for Longitudinal Model Predictive Control of a Passenger Vehicle.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Scalable Framework for Robust Vehicle State Estimation with a Fusion of a Low-Cost IMU, the GNSS, Radar, a Camera and Lidar.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2017
Security trade-offs in Cloud storage systems.
PhD thesis, 2017

Evidence-based security configurations for cloud datastores.
Proceedings of the Symposium on Applied Computing, 2017

2016
Kollisionsfreie Längs- und Quertrajektorienplanung unter Berücksichtigung fahrzeugspezifischer Potenziale.
Autom., 2016

2015
Understanding the influence of traction on the Eigen behaviour of torsional vibrations in individual-wheel drives.
Autom., 2015

Informed Schema Design for Column Store-Based Database Services.
Proceedings of the 8th IEEE International Conference on Service-Oriented Computing and Applications, 2015

2014
A Convex Optimization Approach in Drive Train Anti-Jerk Control with Measurements of Uncertain Delay.
Autom., 2014

Benchmarking the Performance Impact of Transport Layer Security in Cloud Database Systems.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

Lateral vehicle guidance control for autonomous and cooperative driving.
Proceedings of the 13th European Control Conference, 2014

Lateral trajectory tracking control for autonomous vehicles.
Proceedings of the 13th European Control Conference, 2014

2013
Compliance-Preserving Cloud Storage Federation Based on Data-Driven Usage Control.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013


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