Special Section on Risk, Resilience, and Reliability for Autonomous Vehicle Technologies: Trend, Techniques, and Challenges
Author:
Affiliation:
1. University of Maryland , Mitchell Building, College Park, MD 20742
2. Pacific Northwest National Laboratory , 902 Battelle Blvd., Richland, WA 99354
3. University of Maryland , College Park, Mitchell Building, College Park, MD 20742
Publisher
ASME International
Subject
Mechanical Engineering,Safety Research,Safety, Risk, Reliability and Quality
Link
https://asmedigitalcollection.asme.org/risk/article-pdf/8/3/030301/6907079/risk_008_03_030301.pdf
Reference7 articles.
1. Mapping SysML Diagrams Into Bayesian Networks: A Systems Engineering Approach for Fault Diagnosis;ASCE-ASME J. Risk Uncertainty Eng. Syst. Part B Mech. Eng.,2020
2. Toward a Hybrid Causal Framework for Autonomous Vehicle Safety Analysis;Proc. Inst. Mech. Eng., Part O J. Risk Reliab.,2021
3. A Risk Model for Autonomous Marine Systems and Operation Focusing on Human–Autonomy Collaboration;Proc. Inst. Mech. Eng., Part O J. Risk Reliab.,2017
4. Road Safety: Risk Management Perspective;ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A Civ. Eng.,2020
5. Collision-Avoidance Reliability Analysis of Automated Vehicle Based on Adaptive Surrogate Modeling;ASCE-ASME J. Risk Uncertainty Eng. Syst. Part B Mech. Eng.,2019
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