Jonas Bärgman

According to our database, Jonas Bärgman authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data.

Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann

IEEE Trans. Intell. Transp. Syst., May, 2024

Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data.

Jian Wu, Carol Flannagan, Ulrich Sander, 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

Requirements Strategy for Managing Human Factors in Automated Vehicle Development.

Amna Pir Muhammad, Alessia Knauss, Eric Knauss, Jonas Bärgman

CoRR, 2024

2023

Human factors in developing automated vehicles: A requirements engineering perspective.

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman

J. Syst. Softw., November, 2023

Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation.

Jian Wu, Carol Flannagan, Ulrich Sander, Jonas Bärgman

CoRR, 2023

Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle.

Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár, Henk Wymeersch, Jonas Bärgman

CoRR, 2023

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices.

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss

Proceedings of the 31st IEEE International Requirements Engineering Conference, 2023

Continuous Experimentation and Human Factors - An Exploratory Study.

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss

Proceedings of the Product-Focused Software Process Improvement, 2023