Xiaomi Yang

Project Assistant at Vehicle Safety

Xiaomi Yang is a PhD student in crash analysis and prevention unit from vehicle safety division and she is one of the ESRs (early-stage-researchers) in SHAPE-IT project (a Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN) project). She focuses her research on safety assessment of automated vehicles by using counterfactual simulations. She also works on statistical methods to improve efficiency of scenario generation for comparing safety benefits of automated vehicles and manual driving vehicles.

Source: chalmers.se
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Showing 11 publications

2025
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Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

Henrik Imberg, Xiaomi Yang, Carol Ann Cook Flannagan et al
Technometrics. Vol. 67 (1), p. 46-57
Journal article
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2025
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Strategic decision points in experiments: A predictive Bayesian optional stopping method

Xiaomi Yang, Carol Ann Cook Flannagan, Jonas Bärgman
Preprint
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2024
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Evaluation of comfort zone boundary based automated emergencybraking algorithms for car-to-powered-two-wheeler crashes inChina

Xiaomi Yang, Nils Lübbe, Jonas Bärgman
IET Intelligent Transport Systems. Vol. 18 (9), p. 1599-1615
Journal article
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Showing 1 research projects

2019–2024

Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)

Jonas Bärgman Crash Analysis and Prevention
Chi Zhang Interaction Design and Software Engineering
Amna Pir Muhammad Testing, Requirements, Innovation and Psychology
Jacqueline Plette Chalmers, Research support
Christian Berger Cyber Physical Systems
Eric Knauss Testing, Requirements, Innovation and Psychology
Xiaomi Yang Vehicle Safety
European Commission (EC)

40 publications exist
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