ROADVIEW - Robust Automated Driving in Extreme Weather
Overview
Objectives:
Complex weather and traffic conditions affect the safety and operation of connected and automated vehicles (CAVs). Most CAVs are tested in optimal weather and road conditions with clear visibility. As such, it is important to test the systems under all weather and road conditions. The EU-funded ROADVIEW project will integrate a complex in-vehicle system-of-systems that performs advanced environment and traffic recognition and prediction and determines the proper behaviour of CAVs in a real-world environment including severe weather conditions. The project will develop an embedded in-vehicle perception and decision-making system based on enhanced sensing, localisation, and improved object/person classification, including vulnerable road users.
Methodology:
ROADVIEW ground-breaking innovations are grounded on a cost-effective multisensory setup, sensor noise modelling and filtering, collaborative perception, testing by simulation-assisted methods and integration and demonstration under different scenarios and weather conditions, reaching TRL 7 by the end of the project. ROADVIEW implements the co-programmed European Partnership “Connected, Cooperative and Automated Mobility” (CCAM) partnership by contributing to the development of a more powerful, fail-safe, resilient and weather-aware technologies. The consortium is a perfect combination of leading universities in the field and research institutes, high-tech SMEs, and strong industry leaders. Beyond their research excellence, the consortium members bring a unique portfolio of testing sites and testing infrastructure, ranging from hardware-testing facilities and rain and wind tunnels to test tracks north of the Arctic Circle.
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