Descrizione del progetto
La gestione delle situazioni difficili da parte dei veicoli automatizzati
Le condizioni meteorologiche e di traffico complesse influenzano la sicurezza e il funzionamento dei veicoli connessi e automatizzati il cui collaudo avviene, nella maggior parte dei casi, in condizioni meteorologiche e stradali ottimali, con una visibilità chiara. Occorre dunque testare i sistemi in tutte le condizioni atmosferiche e stradali. Il progetto ROADVIEW, finanziato dall’UE, integrerà un complesso sistema di sistemi a bordo del veicolo in grado di eseguire il riconoscimento e la previsione avanzati dell’ambiente e del traffico e di determinare il comportamento corretto dei veicoli connessi e automatizzati in un ambiente reale, che comprende le condizioni meteorologiche avverse. Il progetto svilupperà un sistema decisionale e di percezione integrato a bordo del veicolo, basato su rilevamento, localizzazione e classificazione migliorata di oggetti/persone, compresi gli utenti vulnerabili della strada.
Obiettivo
Complex environment and traffic conditions have major impact on the safety and operations of Connected and Automated Vehicles (CAVs). Weather affects not only the vehicle performance but also the roadway infrastructure, thereby increases the risk of collision and traffic scenarios variations. So far, most automated vehicles have been primarily trained and tested under optimal weather and road conditions with clear visibility. However, the systems will have to prove that they are equally reliable and accurate under any weather and road condition before they can see widespread acceptance and adoption. ROADVIEW integrates a complex in-vehicle system-of-systems able to perform advanced environment and traffic recognition and prediction and determine the appropriate course of action of a CAV in a real-world environment, including harsh weather conditions. ROADVIEW develops an embedded in-vehicle perception and decision-making system based on enhanced sensing, localisation, and improved object/person classification (including vulnerable road users). 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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HORIZON-IA - HORIZON Innovation ActionsCoordinatore
301 18 Halmstad
Svezia