Scope:For safety validation of connected automated road vehicles (cars, busses or trucks), the development and implementation of innovative mission oriented ECS systems are necessary to improve robustness and quality assurance. Identification of the failure risk for each part in the ECS value chain. The systems and components allow the identification and management of risks over the entire ECS automotive value chain players including semiconductors, subsystem and systems behavior. The focus of this special topic will be on component design, subsystem and system integration up to sensor fusion.
Proposals should cover some of the listed aspects but are not limited to:
Architectures, components, sub-systems, simulation in complex environments enabling virtual development and validation for automated driving.Methods and tools to validate the models used in virtual validationMetrics for quality assurance for ECS for automated vehicles. Definition and understanding of test coverage should be developed. Off-line supervised learning from fleet observations data should be possibleMethods to significantly shorten the validation process with respect to an acceptable...
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Scope:For safety validation of connected automated road vehicles (cars, busses or trucks), the development and implementation of innovative mission oriented ECS systems are necessary to improve robustness and quality assurance. Identification of the failure risk for each part in the ECS value chain. The systems and components allow the identification and management of risks over the entire ECS automotive value chain players including semiconductors, subsystem and systems behavior. The focus of this special topic will be on component design, subsystem and system integration up to sensor fusion.
Proposals should cover some of the listed aspects but are not limited to:
Architectures, components, sub-systems, simulation in complex environments enabling virtual development and validation for automated driving.Methods and tools to validate the models used in virtual validationMetrics for quality assurance for ECS for automated vehicles. Definition and understanding of test coverage should be developed. Off-line supervised learning from fleet observations data should be possibleMethods to significantly shorten the validation process with respect to an acceptable residual risk. For this a set of comprehensive traffic situation database supporting scenario tests (including maps and traffic information needed for simulations) as well as simulation models with special focus sub-systems, components and sensors used in automated vehicles
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