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IEEE Intelligent Vehicles Symposium, Proceedings(2)
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IEEE Robotics and Automation Letters(1)
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A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric
ArticleAbstract: A connected and automated vehicle safety metric determines the performance of a subject vehicle (SV)Palabras claves:connected and automated vehicle, invariant set, lead, Measurement, operational design domain., roads, safety, Safety metric, shape, TESTING, Vehicle dynamicsAutores:Linda Capito, Özgüner Ü., Redmill K.A., Weng B.Fuentes:scopusA Formal Characterization of Black-Box System Safety Performance with Scenario Sampling
ArticleAbstract: A typical scenario-based evaluation framework seeks to characterize a black-box system's safety perfPalabras claves:black-box system, invariant set, probability and statistical methods, Robot safety, scenario samplingAutores:Linda Capito, Özgüner Ü., Redmill K.A., Weng B.Fuentes:scopusA Modeled Approach for Online Adversarial Test of Operational Vehicle Safety
Conference ObjectAbstract: The scenario-based testing of operational vehicle safety presents a set of principal other vehicle (Palabras claves:Autores:Linda Capito, Özgüner Ü., Redmill K.A., Weng B.Fuentes:scopusOptical Flow based Visual Potential Field for Autonomous Driving
Conference ObjectAbstract: Monocular vision based navigation for automated driving is a challenging task due to the lack of enoPalabras claves:Autores:Linda Capito, Özgüner Ü., Redmill K.A.Fuentes:scopusIntegrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Conference ObjectAbstract: Automated driving in urban settings is challenging. Human participant behavior is difficult to modelPalabras claves:Autores:Linda Capito, Ozgune U., Redmill K.A., Yurtsever E.Fuentes:scopusMethodology for Hazard Identification and Mitigation Strategies Applied to an Overtaking Assistant ADAS
Conference ObjectAbstract: We propose a methodology for analyzing the hazards and potential mitigation of faults and failures iPalabras claves:Autores:Linda Capito, Redmill K.A.Fuentes:scopusTowards Guaranteed Safety Assurance of Automated Driving Systems With Scenario Sampling: An Invariant Set Perspective
ArticleAbstract: How many scenarios are sufficient to validate the safe Operational Design Domain (ODD) of an AutomatPalabras claves:automated driving system, invariant set, safety, scenario samplingAutores:Linda Capito, Özgüner Ü., Redmill K.A., Weng B.Fuentes:scopusRisk analysis for vehicle-pedestrian interaction with extended sensing
Book PartAbstract: In this work, we introduce the concept of extended sensing (ES) and provide a comparison tool that ePalabras claves:Bpa, Collision Avoidance, Risk analysis, Vehicle-pedestrian interactionAutores:He Z., Linda Capito, Özgüner F., Özgüner Ü., Redmill K.A.Fuentes:scopus