We are building an artificial intelligence research center for automotive applications based in the center of Paris, a project started in 2017 to conduct ambitious research projects, regarding assisted and autonomous driving
Automated driving relies first on a diverse range of sensors, like Valeo’s cameras, LiDARs, radars and ultrasonics. Exploiting at best the outputs of each of these sensors at any instant is fundamental to understand the complex environment of the vehicle. To this end, we explore various deep learning approaches where sensors are considered both in isolation and collectively.
Deep learning and reinforcement learning are key technologies for autonomous driving. One of the challenges they face is to adapt to conditions which differ from those met during training. To improve systems’ performance in such situations, we explore so-called domain adaption techniques, as in AdvEnt, our project presented at CVPR 2019.
When the unexpected happens, when the weather badly degrades, when a sensor gets blocked, the embarked perception system should diagnose the situation and react accordingly, e.g, by calling an alternative system or the human driver. With this in mind, we investigate automatic ways to assess the uncertainty of a system and to predict its performance.
Meet our team
Research Scientist Hedi Ben-younes
Research Scientist Andrei Bursuc
PHD student Charles Corbière
Principal scientist Matthieu Cord
Research Scientist Spyros Gidaris
Research Scientist David Hurych
Research Scientist Himalaya Jain
HR Partner Pascal Le Hérissé
Panthéon-Sorbonne | Marriott | Saint-Gobain | Faurecia
MisChief of Staff
Principal scientist Renaud Marlet
PHD student Arthur Ouaknine
Deep Learning | Machine Learning | Signal Processing
Panthéon-Sorbonne | Telecom | Zyl | Telecom
Scientific Director Patrick Pérez
Research Scientist Julien Rebut
Deep Learning | Computer Vision
INSA | ValeoVS | ValeoCDA
PHD student Simon Roburin
Deep Learning | Machine Learning | Applied Mathematics | Generalization
Centrale | Prophesee | ENPC
PHD student Antoine Saporta
Deep Learning | Computer Vision | Domain Adaptation
X | TU-Munich | SorbonneU
PhD Student Marin Toromanoff
Supelec | Mines
PHD student Huy Van Vo
Research scientist Tuan-Hung Vu
Valeo.ai researchers present eight papers, including 4 orals at the premier annual computer vision conference in June 2019.
Himalaya Jain, researcher at valeo.ai, receives the Best Thesis Prize from Rennes 1 Foundation in April 2019.
Spyros Gidaris, researcher at Valeo.ai, receives the Best Thesis Prize from Ponts Foundation in June 2019.
Valeo is proud to be part of Prairie, the new Paris Interdisciplinary Artificial Intelligence Institute – May 2019.