Project Details
Description
ROADVIEW is an EU-funded Horizon Europe Innovation Action aiming to develop robust and cost-efficient in-vehicle perception and decision-making systems for connected and automated vehicles with enhanced performance under harsh weather conditions and different traffic scenarios.
To address the challenges related to AVs, the ROADVIEW project is developing complex in-vehicle perception and decision-making systems able to perform advanced traffic recognition and prediction under severe weather conditions, such as snow, fog, and rain. Based on a cost-efficient multi-sensory setup, the revolutionary systems will independently perceive the environment conditions and make decisions based on its enhanced sensing, localisation, and improved object and person classification.
To address the challenges related to AVs, the ROADVIEW project is developing complex in-vehicle perception and decision-making systems able to perform advanced traffic recognition and prediction under severe weather conditions, such as snow, fog, and rain. Based on a cost-efficient multi-sensory setup, the revolutionary systems will independently perceive the environment conditions and make decisions based on its enhanced sensing, localisation, and improved object and person classification.
Acronym | ROADVIEW |
---|---|
Status | Active |
Effective start/end date | 1/09/22 → 31/08/26 |
Collaborative partners
- VTT Technical Research Centre of Finland
- Halmstad University (lead)
- Lapland University of Applied Sciences
- Technische Hochschule Ingolstadt (THI)
- Swedish National Road and Transport Research Institute
- Centre for Studies and Expertise on Risks, the Environment, Mobility and Urban Planning (CEREMA)
- RISE Research Institutes of Sweden
- National Land Survey of Finland (NLS)
- Repli5 AB
- Konrad GmbH
- Ford Otomotiv Sanayi A.Ş
- Canon Research Centre France C.r.f.-SA
- University of Warwick
- AVL Software and Functions GmbH
- ZF Friedrichshaffen AG
Funding category
- Horizon Europe
Keywords
- autonomous vehicles
- AI
- complex environmental condicitons
- CCAM
- sensor fusion
- object detection
- x-in-the-loop
- VRU
- decision-making system