Nicole Neis

According to our database1, Nicole Neis authored at least 11 papers between 2023 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
From Real-World Traffic Data to Relevant Critical Scenarios.
CoRR, December, 2025

Comparison of Vehicle Lateral Movement Models for Automated Driving Function Validation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Data-Driven Lane Change Modeling for Automated Driving Function Validation.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

2024
A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project.
CoRR, 2024

Improved Modelling of the Position-Independent, Fine-Scale Lateral Movement of Vehicles Within Their Lane.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Improving the Modelling of the Lateral Driving Behavior of Vehicles within their Lane Over Extended Time Periods.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Repetition, Replay, Replica - A Survey on the Understanding of Resimulation in the Context of Automated Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Sensitivity Analysis and Extended Evaluation of the Two-Level Stochastic Model for the Lateral Movement of Vehicles within their Lane.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

2023
Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023


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