A study on intuitionistic fuzzy generating function using T-Norm, T-Conorm operators to enhance night-time images for autonomous driving system. [PDF]
Sci RepRagavendirane MS, Dhanasekar S.
europepmc +1 more source
Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving. [PDF]
Sensors (Basel)Fernandez-Matellan R +3 more
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Moral Complexity in Traffic: Advancing the ADC Model for Automated Driving Systems. [PDF]
Sci Eng EthicsCecchini D, Dubljević V.
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Development of freeway-based test scenarios for applying new car assessment program to automated vehicles. [PDF]
PLoS One, 2022 Ko W, Park S, Park S, Jeong H, Yun I.
europepmc +1 more source
Performance Evaluation of Cooperative Driving Automation Services Enabled by Edge Roadside Units. [PDF]
Sensors (Basel)Jung US, Mun C.
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Development of a Framework for Generating Driving Safety Assessment Scenarios for Automated Vehicles. [PDF]
Sensors (Basel), 2022 Ko W, Park S, Yun J, Park S, Yun I.
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Closing Sim2Real Gaps: A Versatile Development and Validation Platform for Autonomous Driving Stacks. [PDF]
Sensors (Basel)Arango JF +5 more
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Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife-Vehicle Collisions: A Review, Challenges, and New Perspectives. [PDF]
Sensors (Basel), 2022 Nandutu I, Atemkeng M, Okouma P.
europepmc +1 more source
Safety assurance for automated driving systems that use machine learning
© 2024 Stuart John BallingallThe number of fatalities and serious injuries caused by vehicle crashes in road environments globally is unacceptably high.
Ballingall, Stuart John
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