ExpectedOutcome:
Project results are expected to contribute to all of the following expected outcomes:
- 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), in order to reduce existing disparities in the harm-to-exposure ratios of these vulnerable groups.
- 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 in which the vehicle’s decision-making might be contradictory to existing traffic rules (e.g. to make way for a priority vehicle, to obey police officers directing traffic).
- Availability of robust, transparent and accurate systems to enable the safe and reliable operation of automated vehicles in expanding Operational Design Domains (ODDs) including all weather conditions, complex urban environments, challenges in rural environments, etc.
- Standardization mandate for performance requirements for environment perception systems with respect to different automation levels and ODDs.
Funder: European Commission
Deadline: 19 October 2021
