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Robust Automated Driving in Extreme Weather

Project description

How automated vehicles handle difficult conditions

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.

Objective

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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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL5-2021-D6-01

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Coordinator

HOGSKOLAN I HALMSTAD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 895 625,00
Address
KRISTIAN IVS VAG 3
301 18 Halmstad
Sweden

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Region
Södra Sverige Västsverige Hallands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 895 625,00

Participants (15)

Partners (3)

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