Continuous Experimentation and Human Factors - An Exploratory Study. - Amna Pir Muhammad; Eric Knauss; Jonas Bärgman; Alessia Knauss (PROFES (1), 2023)

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices. - Amna Pir Muhammad; Eric Knauss; Jonas Bärgman; Alessia Knauss (RE, 2023)

Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle. - Jordanka Kovaceva; Nikolce Murgovski; Balázs Kulcsár; Henk Wymeersch; Jonas Bärgman (CoRR, 2023)

Human factors in developing automated vehicles: A requirements engineering perspective. - Amna Pir Muhammad; Eric Knauss; Jonas Bärgman (J. Syst. Softw., 2023)

Requirements Strategy for Managing Human Factors in Automated Vehicle Development. - Amna Pir Muhammad; Alessia Knauss; Eric Knauss; Jonas Bärgman (CoRR, 2024)

Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really? - Pierluigi Olleja; Gustav Markkula; Jonas Bärgman (CoRR, 2024)

Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data. - Jian Wu; Carol A. C. Flannagan; Ulrich Sander; Jonas Bärgman (CoRR, 2024)

RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems. - 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; et al. (CoRR, 2024)

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data. - Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan 010; Martin Baumann 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation. - Jian Wu; Carol A. C. Flannagan; Ulrich Sander; Jonas Bärgman (IEEE Trans. Intell. Transp. Syst., 2024)

Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples. - Henrik Imberg; Xiaomi Yang; Carol A. C. Flannagan; Jonas Bärgman (Technometrics, 2025)

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems. - Xiaomi Yang; Henrik Imberg; Carol A. C. Flannagan; Jonas Bärgman (CoRR, 2025)

Practical Equivalence Testing and Its Application in Synthetic Pre-Crash Scenario Validation. - Jian Wu; Ulrich Sander; Carol A. C. Flannagan; Minxiang Zhao; Jonas Bärgman (CoRR, 2025)