Introduction
To achieve secure and trustworthy interaction between vehicles, infrastructure and road users, robust (e.g. weather resilient) and accurate on-board environment positioning and perception systems are essential for the extraction of reliable information required for real- time driving decision-making
Scope
The proposed actions are expected to address the development and demonstration of each of the following aspects:
– More powerful and reliable embedded in-vehicle perception systems with increased performance, (weather) resilience and accuracy based on enhanced sensing, localization (with reliable, dynamic, high-definition digital maps, reliable and precise location from EU satellite navigation services) and improved object/person classification and cognition (with greater integration with infrastructure-based perception systems and other vehicles to complete data fusion and real time updates)
– System self-assessment methods for environment perception technologies and improved hardware integration into the vehicle
– On-board, real-time, fail-safe, unambiguous and traceable decision-making systems for safe Connected and Automated Vehicles (CAVs)
Objectives
– Determination of the appropriate compositions of cost-efficient sensor suites that most effectively and reliably deliver the lateral, spatial and temporal resolution needed for real-time driving decision-making of Connected and Automated Vehicles (CAVs)
– Ability to perform advanced environment and traffic recognition and prediction, limiting false detections and non-detections of obstacles, with particular attention to Vulnerable Road Users (VRU)
– Ability to determine the appropriate course of action of a CAV in a real world environment with a wide range of traffic scenarios and identify use cases
– Availability of robust, transparent and accurate systems to enable the safe and reliable operation of automated vehicles in expanding Operational Design Domains (ODDs)
– Standardization mandate for performance requirements for environment perception
systems with respect to different automation levels and ODDs
