Mostrando 10 resultados de: 12
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IEEE Intelligent Vehicles Symposium, Proceedings(2)
2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017(1)
IEEE Access(1)
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC(1)
IEEE Robotics and Automation Letters(1)
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Otras ramas de la ingeniería(9)
Ciencias de la computación(5)
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Métodos informáticos especiales(2)
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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:scopusA dynamical sliding mode control approach for long deadtime systems
Conference ObjectAbstract: The purpose of this work is to combine the concepts of sliding mode control and internal model contrPalabras claves:Chemical processes, Dynamical Sliding Mode Control, Internal model control, Long deadtimeAutores:Andrés Rosales, Linda Capito, Oscar E. Camacho, Pablo Andrés Proaño ChamorroFuentes:googlescopusData-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers
ArticleAbstract: Most current research in the field of autonomous vehicle control assumes that all vehicles will follPalabras claves:data-driven control, lane change, personalization, Subjective riskAutores:Bao N., Carballo A., Linda Capito, Miyajima C., Takeda K., Yang D.Fuentes:scopusExperimental comparison of control strategies for trajectory tracking for mobile robots
ArticleAbstract: The purpose of this paper is to implement, test and compare the performance of different control strPalabras claves:algorithm, COMPARISON, control, Controller, Linear Algebra, mobile robot, sliding mode control, SMC, Trajectory trackingAutores:Andrés Rosales, Gustavo Juan Eduardo Scaglia, Linda Capito, Oscar E. Camacho, Pablo Andrés Proaño ChamorroFuentes:googlescopusOptical 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:scopus