Resultado final
Report defining how to test single components and integrated automated vehicle systems in virtual and real domains. It will consider specific uses-cases under extreme weather conditions.
Initial readiness assessment of specific datasetsReport on the quantitative evaluation of the ROADVIEW DRL method on public datasets using a limited feature size.
SW on Improved Localization Using High-density Map Updating - First reportA first report related SW of a compressed HD map representation that can cope with the seasonal changes and can be kept updated while excluding the dynamic objects.
SW on Adaptive Sensor Fusion and Perception Solutions - First reportA first report on algorithms and SW developed to detect weather-related physical conditions (e.g., heavy rain, fog, slush and snow), free space detection, object detection and tracking, and adaptive sensor fusion.
Vehicle dynamics modelling methodologyA public report will be published along with any relevant publications on vehicle dynamics modelling methodologies. In addition, a representative library of vehicle dynamics models for a selection of vehicles available within the consortium will be delivered.
Definition of the complex environment conditionsAn extended ODD taxonomy will be reported considering harsh weather conditions and complex urban/rural environments.
SW on Collaborative Perception Solutions - First reportA first report on improving vehicle perception with sharing information provided by sensors from other connected vehicles or VRUs and roadside infrastructure.
Use cases and scenariosA set of use cases with multiple scenarios will be reported based on the ODD taxonomy defined in Task 2.1.
Plan for the dissemination and communication activitiesPlan for the dissemination and communication activities including defined strategy, tools, channels and (international) activities.
ROADVIEW website with dedicated areas for different stakeholder groups.
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