Jonas Bärgman

18 papers A 2Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples.
Technometrics
Henrik Imberg, Xiaomi Yang, Carol A. C. Flannagan, Jonas Bärgman
2025 J jnl
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems.
CoRR
Xiaomi Yang, Henrik Imberg, Carol A. C. Flannagan, Jonas Bärgman
2025 J jnl
Model-Based Generation of Representative Rear-End Crash Scenarios Across the Full Severity Range Using Pre-Crash Data.
IEEE Trans. Intell. Transp. Syst.
Jian Wu, Carol A. C. Flannagan, Ulrich Sander, Jonas Bärgman
2025 J jnl
Practical Equivalence Testing and Its Application in Synthetic Pre-Crash Scenario Validation.
CoRR
Jian Wu, Ulrich Sander, Carol A. C. Flannagan, Minxiang Zhao, Jonas Bärgman
2024 J jnl
Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data.
IEEE Trans. Intell. Transp. Syst.
Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann
2024 J jnl
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices.
CoRR
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss
2024 J jnl
Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data.
CoRR
Jian Wu, Carol A. C. Flannagan, Ulrich Sander, Jonas Bärgman
2024 J jnl
Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation.
IEEE Trans. Intell. Transp. Syst.
Jian Wu, Carol A. C. Flannagan, Ulrich Sander, Jonas Bärgman
2024 J jnl
RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems.
CoRR
John M. Scanlon, Eric R. Teoh, David G. Kidd, Kristofer D. Kusano, Jonas Bärgman, Geoffrey Chi-Johnston, Luigi Di Lillo, Francesca Favaro, Carol A. C. Flannagan, Henrik Liers, Bonnie Lin, Magdalena Lindman, Shane McLaughlin, Miguel Perez, Trent Victor
2024 A conf
Requirements Strategy for Managing Human Factors in Automated Vehicle Development.
RE
Amna Pir Muhammad, Alessia Knauss, Eric Knauss, Jonas Bärgman
2024 J jnl
Requirements Strategy for Managing Human Factors in Automated Vehicle Development.
CoRR
Amna Pir Muhammad, Alessia Knauss, Eric Knauss, Jonas Bärgman
2024 J jnl
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?
CoRR
Pierluigi Olleja, Gustav Markkula, Jonas Bärgman
2023 — conf
Continuous Experimentation and Human Factors - An Exploratory Study.
PROFES (1)
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss
2023 J jnl
Continuous Experimentation and Human Factors An Exploratory Study.
CoRR
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss
2023 J jnl
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle.
CoRR
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár, Henk Wymeersch, Jonas Bärgman
2023 J jnl
Human factors in developing automated vehicles: A requirements engineering perspective.
J. Syst. Softw.
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman
2023 A conf
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices.
RE
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss
2023 J jnl
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation.
CoRR
Jian Wu, Carol A. C. Flannagan, Ulrich Sander, Jonas Bärgman