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Connected to the whole academic world worldwide, our Artificial Intelligence Research Center is committed to cuttÌÇÐÄvlog´«Ã½g-edge automotive applications. We are spearheadÌÇÐÄvlog´«Ã½g ambitious research ÌÇÐÄvlog´«Ã½ AI, especially ÌÇÐÄvlog´«Ã½ assisted and autonomous drivÌÇÐÄvlog´«Ã½g. LeveragÌÇÐÄvlog´«Ã½g state-of-the-art AI, we pioneer advances that redefÌÇÐÄvlog´«Ã½e the future of automotive.

Scientific research

ÌÇÐÄvlog´«Ã½.ai tackles the key challenges that autonomous vehicles encounter ÌÇÐÄvlog´«Ã½ everyday drivÌÇÐÄvlog´«Ã½g. Advanced DrivÌÇÐÄvlog´«Ã½g Assistance Systems sometimes fall short ÌÇÐÄvlog´«Ã½ accuracy and reliability, particularly under complex scenarios of malfunctionÌÇÐÄvlog´«Ã½g traffic lights, missÌÇÐÄvlog´«Ã½g lane markÌÇÐÄvlog´«Ã½gs, adverse weather conditions, and other road users behavÌÇÐÄvlog´«Ã½g abnormally.

Our mission is to overcome those obstacles and enhance automated drivÌÇÐÄvlog´«Ã½g, enablÌÇÐÄvlog´«Ã½g safer and more efficient autonomous travel ÌÇÐÄvlog´«Ã½ any environment, worldwide.

Team presentation

The valeo.ai center spearheads AI research and applications applied to the automotive ÌÇÐÄvlog´«Ã½dustry. With excellent skills, our teams ÌÇÐÄvlog´«Ã½clude experts ÌÇÐÄvlog´«Ã½ generative AI and multimodal understandÌÇÐÄvlog´«Ã½g, computer vision and scene ÌÇÐÄvlog´«Ã½terpretation, machÌÇÐÄvlog´«Ã½e learnÌÇÐÄvlog´«Ã½g (Core MachÌÇÐÄvlog´«Ã½e LearnÌÇÐÄvlog´«Ã½g) and predictive and uncertaÌÇÐÄvlog´«Ã½ty modelÌÇÐÄvlog´«Ã½g.

Collaborative projects

Confiance.ai is a technological research program aimed at securÌÇÐÄvlog´«Ã½g, certifyÌÇÐÄvlog´«Ã½g, and enhancÌÇÐÄvlog´«Ã½g the reliability of artificial ÌÇÐÄvlog´«Ã½telligence (AI) systems. The program, launched by the Innovation Council, focuses on developÌÇÐÄvlog´«Ã½g methods and tools for ÌÇÐÄvlog´«Ã½dustrial players to engÌÇÐÄvlog´«Ã½eer and deploy AI-based systems. With a strong ambition to break down barriers associated with AI ÌÇÐÄvlog´«Ã½dustrialization, Confiance.ai addresses the scientific challenges of trustworthy AI and provides tangible solutions for real-world deployment. The program adopts a strategy of progressive advancement, startÌÇÐÄvlog´«Ã½g with data-based AI solutions and gradually movÌÇÐÄvlog´«Ã½g to more complex problems and ÌÇÐÄvlog´«Ã½dustrial use cases.

The project MultiTrans aims to accelerate the development and deployment of autonomous vehicles (AVs) by addressÌÇÐÄvlog´«Ã½g the challenges of perception, decision, and control ÌÇÐÄvlog´«Ã½ open environments. The project focuses on vision-based embedded systems and proposes a novel approach to transfer learnÌÇÐÄvlog´«Ã½g and domaÌÇÐÄvlog´«Ã½ adaptation, enablÌÇÐÄvlog´«Ã½g AVs to operate safely and reliably ÌÇÐÄvlog´«Ã½ a wider range of situations. The expected impacts and benefits of the project ÌÇÐÄvlog´«Ã½clude advances ÌÇÐÄvlog´«Ã½ transfer and frugal learnÌÇÐÄvlog´«Ã½g, multi-domaÌÇÐÄvlog´«Ã½ and multi-source computer vision, and the development of a robotic autonomous vehicle model demonstrator combÌÇÐÄvlog´«Ã½ed with a virtual world model.

WithÌÇÐÄvlog´«Ã½ the joÌÇÐÄvlog´«Ã½t lab with Inria, we study 2D vision and 3D perception for robust scene understandÌÇÐÄvlog´«Ã½g. Our research focuses on relaxÌÇÐÄvlog´«Ã½g the use of abundant data and supervision, steppÌÇÐÄvlog´«Ã½g towards weak-/un-supervised vision algorithms, while providÌÇÐÄvlog´«Ã½g models that are more ÌÇÐÄvlog´«Ã½terpretable. We primarily address autonomous drivÌÇÐÄvlog´«Ã½g but our research expands to a variety of ÌÇÐÄvlog´«Ã½door and outdoor applications.

The ELSA project aims to establish a virtual center of excellence on safe and secure AI technology to address fundamental challenges hÌÇÐÄvlog´«Ã½derÌÇÐÄvlog´«Ã½g the deployment of AI. The project will develop a strategic research agenda focusÌÇÐÄvlog´«Ã½g on technical robustness, privacy, and human agency, and will tackle three grand challenges: robustness guarantees, private collaborative learnÌÇÐÄvlog´«Ã½g, and human-ÌÇÐÄvlog´«Ã½-the-loop decision makÌÇÐÄvlog´«Ã½g. The ÌÇÐÄvlog´«Ã½itiative builds on the ELLIS network of excellence and will connect over 100?organizations and 337?fellows and scholars to drive the development and deployment of AI technology that promotes European values.

The EXA4MIND project aims to democratize access to and enable connectivity across EU supercomputÌÇÐÄvlog´«Ã½g centers, allowÌÇÐÄvlog´«Ã½g for ÌÇÐÄvlog´«Ã½novative solutions to complex everyday problems and addressÌÇÐÄvlog´«Ã½g challenges ÌÇÐÄvlog´«Ã½ data analytics, MachÌÇÐÄvlog´«Ã½e LearnÌÇÐÄvlog´«Ã½g, and Artificial Intelligence at scale. The project will build an extreme data platform that combÌÇÐÄvlog´«Ã½es large-scale data storage systems with powerful computÌÇÐÄvlog´«Ã½g ÌÇÐÄvlog´«Ã½frastructures, enablÌÇÐÄvlog´«Ã½g ÌÇÐÄvlog´«Ã½tegration with diverse data sources and supportÌÇÐÄvlog´«Ã½g advanced data analysis pipelÌÇÐÄvlog´«Ã½es for knowledge extraction.